* splitting fast and slow tokenizers [WIP] * [WIP] splitting sentencepiece and tokenizers dependencies * update dummy objects * add name_or_path to models and tokenizers * prefix added to file names * prefix * styling + quality * spliting all the tokenizer files - sorting sentencepiece based ones * update tokenizer version up to 0.9.0 * remove hard dependency on sentencepiece 🎉 * and removed hard dependency on tokenizers 🎉 * update conversion script * update missing models * fixing tests * move test_tokenization_fast to main tokenization tests - fix bugs * bump up tokenizers * fix bert_generation * update ad fix several tokenizers * keep sentencepiece in deps for now * fix funnel and deberta tests * fix fsmt * fix marian tests * fix layoutlm * fix squeezebert and gpt2 * fix T5 tokenization * fix xlnet tests * style * fix mbart * bump up tokenizers to 0.9.2 * fix model tests * fix tf models * fix seq2seq examples * fix tests without sentencepiece * fix slow => fast conversion without sentencepiece * update auto and bert generation tests * fix mbart tests * fix auto and common test without tokenizers * fix tests without tokenizers * clean up tests lighten up when tokenizers + sentencepiece are both off * style quality and tests fixing * add sentencepiece to doc/examples reqs * leave sentencepiece on for now * style quality split hebert and fix pegasus * WIP Herbert fast * add sample_text_no_unicode and fix hebert tokenization * skip FSMT example test for now * fix style * fix fsmt in example tests * update following Lysandre and Sylvain's comments * Update src/transformers/testing_utils.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/testing_utils.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/tokenization_utils_base.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/tokenization_utils_base.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
253 lines
5.7 KiB
Python
253 lines
5.7 KiB
Python
# This file is autogenerated by the command `make fix-copies`, do not edit.
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from ..file_utils import requires_tokenizers
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class AlbertTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class BartTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class BertTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class CamembertTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class DistilBertTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class DPRContextEncoderTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class DPRQuestionEncoderTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class DPRReaderTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class ElectraTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class FunnelTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class GPT2TokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class HerbertTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class LayoutLMTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class LongformerTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class LxmertTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class MBartTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class MobileBertTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class OpenAIGPTTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class PegasusTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class ReformerTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class RetriBertTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class RobertaTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class SqueezeBertTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class T5TokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class PreTrainedTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class XLMRobertaTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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class XLNetTokenizerFast:
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def __init__(self, *args, **kwargs):
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requires_tokenizers(self)
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@classmethod
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def from_pretrained(self, *args, **kwargs):
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requires_tokenizers(self)
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SLOW_TO_FAST_CONVERTERS = None
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def convert_slow_tokenizer(*args, **kwargs):
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requires_tokenizers(convert_slow_tokenizer)
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