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[docs]class BertTokenizerFast(PreTrainedTokenizerFast): r""" Construct a "fast" BERT tokenizer (backed by HuggingFace's `tokenizers` library).
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We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers. Unlike recent language ...
Missing: جراح سینه دکتر وحید حریری? q= tokenization_bert_fast.
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Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, ...
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Construct a "fast" BERT tokenizer (backed by HuggingFace's *tokenizers* library). Based on WordPiece. This tokenizer inherits from [`PreTrainedTokenizerFast`] ...
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The BERT model was proposed in BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding by Jacob Devlin, Ming-Wei Chang, Kenton Lee and ...
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Transformers provides APIs to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon ...
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Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. These models can be applied ...
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