"""
    #################################################################################################################################################################################################
    # This code library is an adaptation of the original Transformers and was designed, developed and programmed by Sapiens Technology®.                                                            #
    # Any alteration and/or disclosure of this code without prior authorization is strictly prohibited and is subject to legal action that will be forwarded by the Sapiens Technology® legal team. #
    # This set of algorithms aims to download, train, fine-tune and/or infer large language models from various sources and slopes.                                                                 #
    #################################################################################################################################################################################################
"""
from ..utils import DummyObject, requires_backends
class AlbertTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class BartTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class BarthezTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class BertTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class BigBirdTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class BlenderbotTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class BlenderbotSmallTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class BloomTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class CamembertTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class CLIPTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class CodeLlamaTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class CodeGenTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class CohereTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class ConvBertTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class CpmTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class DebertaTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class DebertaV2TokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class RealmTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class RetriBertTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class DistilBertTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class DPRContextEncoderTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class DPRQuestionEncoderTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class DPRReaderTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class ElectraTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class EntityTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class FNetTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class FunnelTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class GemmaTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class GPT2TokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class GPTNeoXTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class GPTNeoXJapaneseTokenizer(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class HerbertTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class LayoutLMTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class LayoutLMv2TokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class LayoutLMv3TokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class LayoutXLMTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class LEDTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class LlamaTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class LongformerTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class LxmertTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class MarkupLMTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class MBartTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class MBart50TokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class MobileBertTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class MPNetTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class MT5TokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class MvpTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class NllbTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class NougatTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class OpenAIGPTTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class PegasusTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class Qwen2TokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class ReformerTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class RemBertTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class RobertaTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class RoFormerTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class SapamaTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class SAPIAudioTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class SapiensTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class SeamlessM4TTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class SplinterTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class SqueezeBertTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class T5TokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class UdopTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class WhisperTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class XGLMTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class XLMRobertaTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class XLNetTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
class PreTrainedTokenizerFast(metaclass=DummyObject):
    _backends = ["tokenizers"]
    def __init__(self, *args, **kwargs): requires_backends(self, ["tokenizers"])
"""
    #################################################################################################################################################################################################
    # This code library is an adaptation of the original Transformers and was designed, developed and programmed by Sapiens Technology®.                                                            #
    # Any alteration and/or disclosure of this code without prior authorization is strictly prohibited and is subject to legal action that will be forwarded by the Sapiens Technology® legal team. #
    # This set of algorithms aims to download, train, fine-tune and/or infer large language models from various sources and slopes.                                                                 #
    #################################################################################################################################################################################################
"""
