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# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..file_utils import requires_backends
class AlbertTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class BartTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class BarthezTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class BertTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class BigBirdTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class CamembertTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class CLIPTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class ConvBertTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class DebertaTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class DistilBertTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class DPRContextEncoderTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class DPRQuestionEncoderTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class DPRReaderTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class ElectraTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class FunnelTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class GPT2TokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class HerbertTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class LayoutLMTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class LEDTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class LongformerTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class LxmertTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class MBart50TokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class MBartTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class MobileBertTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class MPNetTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class MT5TokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class OpenAIGPTTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class PegasusTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class ReformerTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class RetriBertTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class RobertaTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class RoFormerTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class SqueezeBertTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class T5TokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class XLMRobertaTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class XLNetTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
class PreTrainedTokenizerFast:
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
@classmethod
def from_pretrained(cls, *args, **kwargs):
requires_backends(cls, ["tokenizers"])
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