"""
    #################################################################################################################################################################################################
    # 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.                                                                 #
    #################################################################################################################################################################################################
"""
deps = {'Pillow': 'Pillow>=10.0.1,<=15.0', 'sapiens_accelerator': 'sapiens_accelerator>=0.26.0', 'av': 'av==9.2.0', 'beautifulsoup4': 'beautifulsoup4', 'blobfile': 'blobfile',
'codecarbon': 'codecarbon==1.2.0', 'cookiecutter': 'cookiecutter==1.7.3', 'dataclasses': 'dataclasses', 'datasets': 'datasets!=2.5.0', 'decord': 'decord==0.6.0',
'deepspeed': 'deepspeed>=0.9.3', 'diffusers': 'diffusers', 'dill': 'dill<0.3.5', 'evaluate': 'evaluate>=0.2.0', 'faiss-cpu': 'faiss-cpu', 'fastapi': 'fastapi',
'filelock': 'filelock', 'flax': 'flax>=0.4.1,<=0.7.0', 'fsspec': 'fsspec<2023.10.0', 'ftfy': 'ftfy', 'fugashi': 'fugashi>=1.0', 'GitPython': 'GitPython<3.1.19',
'hf-doc-builder': 'hf-doc-builder>=0.3.0', 'huggingface-hub': 'huggingface-hub>=0.23.2,<1.0', 'importlib_metadata': 'importlib_metadata', 'ipadic': 'ipadic>=1.0.0,<2.0',
'isort': 'isort>=5.5.4', 'jax': 'jax>=0.4.1,<=0.4.13', 'jaxlib': 'jaxlib>=0.4.1,<=0.4.13', 'jieba': 'jieba', 'jinja2': 'jinja2>=3.1.0', 'kenlm': 'kenlm',
'keras': 'keras>2.9,<2.16', 'keras-nlp': 'keras-nlp>=0.3.1,<0.14.0', 'librosa': 'librosa', 'nltk': 'nltk<=3.8.1', 'natten': 'natten>=0.14.6,<0.15.0',
'numpy': 'numpy>=1.17', 'onnxconverter-common': 'onnxconverter-common', 'onnxruntime-tools': 'onnxruntime-tools>=1.4.2', 'onnxruntime': 'onnxruntime>=1.4.0',
'opencv-python': 'opencv-python', 'optimum-benchmark': 'optimum-benchmark>=0.3.0', 'optuna': 'optuna', 'optax': 'optax>=0.0.8,<=0.1.4', 'packaging': 'packaging>=20.0',
'parameterized': 'parameterized', 'phonemizer': 'phonemizer', 'protobuf': 'protobuf', 'psutil': 'psutil', 'pyyaml': 'pyyaml>=5.1', 'pydantic': 'pydantic',
'pytest': 'pytest>=7.2.0,<8.0.0', 'pytest-timeout': 'pytest-timeout', 'pytest-xdist': 'pytest-xdist', 'python': 'python>=3.8.0', 'ray[tune]': 'ray[tune]>=2.7.0',
'regex': 'regex!=2019.12.17', 'requests': 'requests', 'rhoknp': 'rhoknp>=1.1.0,<1.3.1', 'rjieba': 'rjieba', 'rouge-score': 'rouge-score!=0.0.7,!=0.0.8,!=0.1,!=0.1.1',
'ruff': 'ruff==0.5.1', 'sacrebleu': 'sacrebleu>=1.4.12,<2.0.0', 'sacremoses': 'sacremoses', 'safetensors': 'safetensors>=0.4.1', 'sagemaker': 'sagemaker>=2.31.0',
'schedulefree': 'schedulefree>=1.2.6', 'scikit-learn': 'scikit-learn', 'scipy': 'scipy<1.13.0', 'sentencepiece': 'sentencepiece>=0.1.91,!=0.1.92', 'sigopt': 'sigopt',
'starlette': 'starlette', 'sudachipy': 'sudachipy>=0.6.6', 'sudachidict_core': 'sudachidict_core>=20220729', 'tensorboard': 'tensorboard',
'tensorflow-cpu': 'tensorflow-cpu>2.9,<2.16', 'tensorflow': 'tensorflow>2.9,<2.16', 'tensorflow-text': 'tensorflow-text<2.16',
'tensorflow-probability': 'tensorflow-probability<0.24', 'tf2onnx': 'tf2onnx', 'timeout-decorator': 'timeout-decorator', 'tiktoken': 'tiktoken',
'timm': 'timm<=0.9.16', 'tokenizers': 'tokenizers>=0.20,<0.21', 'torch': 'torch', 'torchaudio': 'torchaudio', 'torchvision': 'torchvision',
'pyctcdecode': 'pyctcdecode>=0.4.0', 'tqdm': 'tqdm>=4.27', 'unidic': 'unidic>=1.0.2', 'unidic_lite': 'unidic_lite>=1.0.7', 'urllib3': 'urllib3<2.0.0',
'uvicorn': 'uvicorn', 'pytest-rich': 'pytest-rich', 'libcst': 'libcst', 'rich': 'rich'}
"""
    #################################################################################################################################################################################################
    # 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.                                                                 #
    #################################################################################################################################################################################################
"""
