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‎doc/algorithms/text/machine_translation_hugging_face.rst

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@@ -8,3 +8,39 @@ This is a supervised machine translation algorithm which supports many pre-train
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demonstrates how to use the Sagemaker Python SDK for Machine Translation for using these algorithms.
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For detailed documentation please refer :ref:`Use Built-in Algorithms with Pre-trained Models in SageMaker Python SDK <built-in-algos>`.
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.. list-table:: Available Models
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:widths: 50 20 20 20 20
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:header-rows: 1
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:class: datatable
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* - Model ID
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- Fine Tunable?
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- Latest Version
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- Min SDK Version
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- Source
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* - huggingface-translation-opus-mt-en-es
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- False
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- 1.1.0
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- 2.75.0
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- `HuggingFace <https://huggingface.co/Helsinki-NLP/opus-mt-en-es>`__
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* - huggingface-translation-opus-mt-en-vi
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- False
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- 1.1.0
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- 2.75.0
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- `HuggingFace <https://huggingface.co/Helsinki-NLP/opus-mt-en-vi>`__
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* - huggingface-translation-t5-base
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- False
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- 1.1.0
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- 2.75.0
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- `HuggingFace <https://huggingface.co/t5-base>`__
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* - huggingface-translation-t5-large
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- False
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- 1.1.0
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- 2.75.0
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- `HuggingFace <https://huggingface.co/t5-large>`__
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* - huggingface-translation-t5-small
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- False
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- 1.1.0
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- 2.75.0
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- `HuggingFace <https://huggingface.co/t5-small>`__

‎doc/algorithms/text/question_answering_pytorch.rst

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demonstrates how to use the Sagemaker Python SDK for Question Answering for using these algorithms.
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For detailed documentation please refer :ref:`Use Built-in Algorithms with Pre-trained Models in SageMaker Python SDK <built-in-algos>`
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.. list-table:: Available Models
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:widths: 50 20 20 20 20
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:header-rows: 1
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:class: datatable
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* - Model ID
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- Fine Tunable?
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- Latest Version
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- Min SDK Version
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- Source
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* - pytorch-eqa-bert-base-cased
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-bert-base-multilingual-cased
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-bert-base-multilingual-uncased
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-bert-base-uncased
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-bert-large-cased
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-bert-large-cased-whole-word-masking
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-bert-large-cased-whole-word-masking-finetuned-squad
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-bert-large-uncased
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-bert-large-uncased-whole-word-masking
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-bert-large-uncased-whole-word-masking-finetuned-squad
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-distilbert-base-cased
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-distilbert-base-multilingual-cased
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-distilbert-base-uncased
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-distilroberta-base
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-roberta-base
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-roberta-base-openai-detector
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-roberta-large
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__
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* - pytorch-eqa-roberta-large-openai-detector
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- True
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- 1.2.1
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- 2.75.0
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- `Pytorch Hub <https://pytorch.org/hub/huggingface_pytorch-transformers/>`__

‎doc/algorithms/text/sentence_pair_classification_hugging_face.rst

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demonstrates how to use the Sagemaker Python SDK for Sentence Pair Classification for using these algorithms.
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For detailed documentation please refer `Use Built-in Algorithms with Pre-trained Models in SageMaker Python SDK <https://sagemaker.readthedocs.io/en/stable/overview.html#use-built-in-algorithms-with-pre-trained-models-in-sagemaker-python-sdk>`__
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.. list-table:: Available Models
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:widths: 50 20 20 20 20
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:header-rows: 1
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:class: datatable
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* - Model ID
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- Fine Tunable?
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- Latest Version
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- Min SDK Version
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- Source
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* - huggingface-spc-bert-base-cased
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/bert-base-cased>`__
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* - huggingface-spc-bert-base-multilingual-cased
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/bert-base-multilingual-cased>`__
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* - huggingface-spc-bert-base-multilingual-uncased
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/bert-base-multilingual-uncased>`__
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* - huggingface-spc-bert-base-uncased
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/bert-base-uncased>`__
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* - huggingface-spc-bert-large-cased
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/bert-large-cased>`__
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* - huggingface-spc-bert-large-cased-whole-word-masking
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/bert-large-cased-whole-word-masking>`__
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* - huggingface-spc-bert-large-uncased
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/bert-large-uncased>`__
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* - huggingface-spc-bert-large-uncased-whole-word-masking
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/bert-large-uncased-whole-word-masking>`__
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* - huggingface-spc-distilbert-base-cased
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/distilbert-base-cased>`__
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* - huggingface-spc-distilbert-base-multilingual-cased
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/distilbert-base-multilingual-cased>`__
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* - huggingface-spc-distilbert-base-uncased
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/distilbert-base-uncased>`__
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* - huggingface-spc-distilroberta-base
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/distilroberta-base>`__
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* - huggingface-spc-roberta-base
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/roberta-base>`__
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* - huggingface-spc-roberta-base-openai-detector
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/roberta-base-openai-detector>`__
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* - huggingface-spc-roberta-large
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/roberta-large>`__
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* - huggingface-spc-roberta-large-openai-detector
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/roberta-large-openai-detector>`__
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* - huggingface-spc-xlm-clm-ende-1024
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/xlm-clm-ende-1024>`__
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* - huggingface-spc-xlm-mlm-ende-1024
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/xlm-mlm-ende-1024>`__
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* - huggingface-spc-xlm-mlm-enro-1024
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/xlm-mlm-enro-1024>`__
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* - huggingface-spc-xlm-mlm-tlm-xnli15-1024
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/xlm-mlm-tlm-xnli15-1024>`__
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* - huggingface-spc-xlm-mlm-xnli15-1024
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- True
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- 1.2.3
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- 2.75.0
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- `HuggingFace <https://huggingface.co/xlm-mlm-xnli15-1024>`__

‎doc/algorithms/text/sentence_pair_classification_tensorflow.rst

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demonstrates how to use the Sagemaker Python SDK for Sentence Pair Classification for using these algorithms.
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For detailed documentation please refer `Use Built-in Algorithms with Pre-trained Models in SageMaker Python SDK <https://sagemaker.readthedocs.io/en/stable/overview.html#use-built-in-algorithms-with-pre-trained-models-in-sagemaker-python-sdk>`__
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.. list-table:: Available Models
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:widths: 50 20 20 20 20
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:header-rows: 1
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:class: datatable
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* - Model ID
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- Fine Tunable?
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- Latest Version
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- Min SDK Version
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- Source
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* - tensorflow-spc-bert-en-cased-L-12-H-768-A-12-2
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- True
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- 1.2.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/tensorflow/bert_en_cased_L-12_H-768_A-12/2>`__
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* - tensorflow-spc-bert-en-uncased-L-12-H-768-A-12-2
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- True
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- 1.2.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/tensorflow/bert_en_uncased_L-12_H-768_A-12/2>`__
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* - tensorflow-spc-bert-en-uncased-L-24-H-1024-A-16-2
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- True
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- 1.2.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/tensorflow/bert_en_uncased_L-24_H-1024_A-16/2>`__
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* - tensorflow-spc-bert-en-wwm-cased-L-24-H-1024-A-16-2
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- True
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- 1.2.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/tensorflow/bert_en_wwm_cased_L-24_H-1024_A-16/2>`__
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* - tensorflow-spc-bert-en-wwm-uncased-L-24-H-1024-A-16-2
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- True
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- 1.2.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/tensorflow/bert_en_wwm_uncased_L-24_H-1024_A-16/2>`__
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* - tensorflow-spc-bert-multi-cased-L-12-H-768-A-12-2
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- True
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- 1.2.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/tensorflow/bert_multi_cased_L-12_H-768_A-12/2>`__
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* - tensorflow-spc-electra-base-1
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- True
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- 1.2.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/google/electra_base/1>`__
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* - tensorflow-spc-electra-small-1
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- True
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- 1.2.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/google/electra_small/1>`__
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* - tensorflow-spc-experts-bert-pubmed-1
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- True
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- 1.2.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/google/experts/bert/pubmed/1>`__
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* - tensorflow-spc-experts-bert-wiki-books-1
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- True
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- 1.2.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/google/experts/bert/wiki_books/1>`__

‎doc/algorithms/text/text_classification_tensorflow.rst

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demonstrates how to use the Sagemaker Python SDK for Text Classification for using these algorithms.
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For detailed documentation please refer :ref:`Use Built-in Algorithms with Pre-trained Models in SageMaker Python SDK <built-in-algos>`
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.. list-table:: Available Models
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:widths: 50 20 20 20 20
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:header-rows: 1
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:class: datatable
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* - Model ID
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- Fine Tunable?
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- Latest Version
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- Min SDK Version
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- Source
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* - tensorflow-tc-bert-en-cased-L-12-H-768-A-12-2
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- True
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- 1.1.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/tensorflow/bert_en_cased_L-12_H-768_A-12/2>`__
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* - tensorflow-tc-bert-en-cased-L-24-H-1024-A-16-2
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- True
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- 1.1.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/tensorflow/bert_en_cased_L-24_H-1024_A-16/2>`__
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* - tensorflow-tc-bert-en-uncased-L-12-H-768-A-12-2
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- True
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- 1.1.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/tensorflow/bert_en_uncased_L-12_H-768_A-12/2>`__
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* - tensorflow-tc-bert-en-wwm-cased-L-24-H-1024-A-16-2
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- True
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- 1.1.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/tensorflow/bert_en_wwm_cased_L-24_H-1024_A-16/2>`__
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* - tensorflow-tc-bert-en-wwm-uncased-L-24-H-1024-A-16-2
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- True
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- 1.1.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/tensorflow/bert_en_wwm_uncased_L-24_H-1024_A-16/2>`__
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* - tensorflow-tc-bert-multi-cased-L-12-H-768-A-12-2
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- True
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- 1.1.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/tensorflow/bert_multi_cased_L-12_H-768_A-12/2>`__
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* - tensorflow-tc-electra-base-1
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- True
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- 1.1.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/google/electra_base/1>`__
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* - tensorflow-tc-electra-small-1
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- True
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- 1.1.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/google/electra_small/1>`__
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* - tensorflow-tc-experts-bert-pubmed-1
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- True
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- 1.1.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/google/experts/bert/pubmed/1>`__
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* - tensorflow-tc-experts-bert-wiki-books-1
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- True
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- 1.1.3
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- 2.75.0
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- `Tensorflow Hub <https://tfhub.dev/google/experts/bert/wiki_books/1>`__

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