public/gpt-2/transformers/utils/dummy_tokenizers_objects.py

# 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"])