"""
    #################################################################################################################################################################################################
    # 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 (CLOUDFRONT_DISTRIB_PREFIX, CONFIG_NAME, DUMMY_INPUTS, DUMMY_MASK, ENV_VARS_TRUE_AND_AUTO_VALUES, ENV_VARS_TRUE_VALUES, FEATURE_EXTRACTOR_NAME, FLAX_WEIGHTS_NAME,
HF_MODULES_CACHE, HUGGINGFACE_CO_PREFIX, HUGGINGFACE_CO_RESOLVE_ENDPOINT, MODEL_CARD_NAME, MULTIPLE_CHOICE_DUMMY_INPUTS, PYTORCH_PRETRAINED_BERT_CACHE, PYTORCH_TRANSFORMERS_CACHE,
S3_BUCKET_PREFIX, SENTENCEPIECE_UNDERLINE, SPIECE_UNDERLINE, TF2_WEIGHTS_NAME, TF_WEIGHTS_NAME, TORCH_FX_REQUIRED_VERSION, TRANSFORMERS_CACHE, TRANSFORMERS_DYNAMIC_MODULE_NAME, USE_JAX,
USE_TF, USE_TORCH, WEIGHTS_INDEX_NAME, WEIGHTS_NAME, ContextManagers, DummyObject, EntryNotFoundError, ExplicitEnum, ModelOutput, PaddingStrategy, PushToHubMixin, RepositoryNotFoundError,
RevisionNotFoundError, TensorType, _LazyModule, add_code_sample_docstrings, add_end_docstrings, add_start_docstrings, add_start_docstrings_to_model_forward, cached_property, copy_func,
default_cache_path, define_sagemaker_information, get_cached_models, get_file_from_repo, get_torch_version, has_file, http_user_agent, is_apex_available, is_bs4_available,
is_coloredlogs_available, is_datasets_available, is_detectron2_available, is_faiss_available, is_flax_available, is_ftfy_available, is_g2p_en_available, is_in_notebook, is_ipex_available,
is_librosa_available, is_offline_mode, is_onnx_available, is_pandas_available, is_phonemizer_available, is_protobuf_available, is_psutil_available, is_py3nvml_available,
is_pyctcdecode_available, is_pytesseract_available, is_pytorch_quantization_available, is_rjieba_available, is_sagemaker_dp_enabled, is_sagemaker_mp_enabled, is_scipy_available,
is_sentencepiece_available, is_seqio_available, is_sklearn_available, is_soundfile_availble, is_spacy_available, is_speech_available, is_tensor, is_tensorflow_probability_available,
is_tf2onnx_available, is_tf_available, is_timm_available, is_tokenizers_available, is_torch_available, is_torch_bf16_available, is_torch_cuda_available, is_torch_fx_available,
is_torch_fx_proxy, is_torch_mps_available, is_torch_tf32_available, is_torch_xla_available, is_torchaudio_available, is_training_run_on_sagemaker, is_vision_available,
replace_return_docstrings, requires_backends, to_numpy, to_py_obj, torch_only_method)
from huggingface_hub.constants import HF_HUB_DISABLE_TELEMETRY as DISABLE_TELEMETRY
from huggingface_hub import get_full_repo_name
from . import __version__
"""
    #################################################################################################################################################################################################
    # 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.                                                                 #
    #################################################################################################################################################################################################
"""
