eleftherias commited on
Commit
01704fd
·
1 Parent(s): 7640e35

Update transformers library

Browse files
backend/poetry.lock CHANGED
@@ -1,4 +1,4 @@
1
- # This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
2
 
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  [[package]]
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  name = "aiofiles"
@@ -760,14 +760,14 @@ test = ["Cython (>=0.29.24)"]
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  [[package]]
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  name = "huggingface-hub"
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- version = "0.29.1"
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  description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
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  optional = false
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  python-versions = ">=3.8.0"
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  groups = ["main"]
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  files = [
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- {file = "huggingface_hub-0.29.1-py3-none-any.whl", hash = "sha256:352f69caf16566c7b6de84b54a822f6238e17ddd8ae3da4f8f2272aea5b198d5"},
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  ]
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  [package.dependencies]
@@ -785,6 +785,7 @@ cli = ["InquirerPy (==0.3.4)"]
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  dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
786
  fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
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  hf-transfer = ["hf-transfer (>=0.1.4)"]
 
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  inference = ["aiohttp"]
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  quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.9.0)"]
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  tensorflow = ["graphviz", "pydot", "tensorflow"]
@@ -2059,19 +2060,19 @@ telegram = ["requests"]
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  [[package]]
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  name = "transformers"
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- version = "4.50.3"
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  description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
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  optional = false
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  python-versions = ">=3.9.0"
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  groups = ["main"]
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  files = [
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- {file = "transformers-4.50.3-py3-none-any.whl", hash = "sha256:6111610a43dec24ef32c3df0632c6b25b07d9711c01d9e1077bdd2ff6b14a38c"},
2069
- {file = "transformers-4.50.3.tar.gz", hash = "sha256:1d795d24925e615a8e63687d077e4f7348c2702eb87032286eaa76d83cdc684f"},
2070
  ]
2071
 
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  [package.dependencies]
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  filelock = "*"
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- huggingface-hub = ">=0.26.0,<1.0"
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  numpy = ">=1.17"
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  packaging = ">=20.0"
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  pyyaml = ">=5.1"
@@ -2089,13 +2090,14 @@ audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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  benchmark = ["optimum-benchmark (>=0.3.0)"]
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  codecarbon = ["codecarbon (>=2.8.1)"]
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  deepspeed = ["accelerate (>=0.26.0)", "deepspeed (>=0.9.3)"]
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2093
- dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.3.2,<0.4)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
2094
- dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"]
2095
- dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "kernels (>=0.3.2,<0.4)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
2096
  flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
2097
  flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
2098
  ftfy = ["ftfy"]
 
2099
  hub-kernels = ["kernels (>=0.3.2,<0.4)"]
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  integrations = ["kernels (>=0.3.2,<0.4)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
2101
  ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
@@ -2105,17 +2107,17 @@ num2words = ["num2words"]
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  onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
2106
  onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
2107
  optuna = ["optuna"]
2108
- quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "libcst", "rich", "ruff (==0.5.1)", "urllib3 (<2.0.0)"]
2109
  ray = ["ray[tune] (>=2.7.0)"]
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  retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
2111
- ruff = ["ruff (==0.5.1)"]
2112
  sagemaker = ["sagemaker (>=2.31.0)"]
2113
  sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
2114
  serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
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  sigopt = ["sigopt"]
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  sklearn = ["scikit-learn"]
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  speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
2118
- testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
2119
  tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
2120
  tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
2121
  tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
@@ -2125,7 +2127,7 @@ tokenizers = ["tokenizers (>=0.21,<0.22)"]
2125
  torch = ["accelerate (>=0.26.0)", "torch (>=2.0)"]
2126
  torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
2127
  torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
2128
- torchhub = ["filelock", "huggingface-hub (>=0.26.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "tqdm (>=4.27)"]
2129
  video = ["av"]
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  vision = ["Pillow (>=10.0.1,<=15.0)"]
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@@ -2667,4 +2669,4 @@ propcache = ">=0.2.0"
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  [metadata]
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  lock-version = "2.1"
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  python-versions = "^3.12"
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- content-hash = "020ad9258b329c935bb7e3e94a4a732db2d7bb01109b8c9bd2bd8178164ecf7d"
 
1
+ # This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
2
 
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  [[package]]
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  name = "aiofiles"
 
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  [[package]]
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  name = "huggingface-hub"
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+ version = "0.30.2"
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  description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
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  optional = false
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  python-versions = ">=3.8.0"
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  groups = ["main"]
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  files = [
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+ {file = "huggingface_hub-0.30.2.tar.gz", hash = "sha256:9a7897c5b6fd9dad3168a794a8998d6378210f5b9688d0dfc180b1a228dc2466"},
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  fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
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  hf-transfer = ["hf-transfer (>=0.1.4)"]
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+ hf-xet = ["hf-xet (>=0.1.4)"]
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  inference = ["aiohttp"]
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  quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.9.0)"]
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  tensorflow = ["graphviz", "pydot", "tensorflow"]
 
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  [[package]]
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  name = "transformers"
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+ version = "4.51.3"
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  description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
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  optional = false
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  python-versions = ">=3.9.0"
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  groups = ["main"]
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  files = [
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+ {file = "transformers-4.51.3-py3-none-any.whl", hash = "sha256:fd3279633ceb2b777013234bbf0b4f5c2d23c4626b05497691f00cfda55e8a83"},
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+ {file = "transformers-4.51.3.tar.gz", hash = "sha256:e292fcab3990c6defe6328f0f7d2004283ca81a7a07b2de9a46d67fd81ea1409"},
2071
  ]
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  [package.dependencies]
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  filelock = "*"
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+ huggingface-hub = ">=0.30.0,<1.0"
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  numpy = ">=1.17"
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  packaging = ">=20.0"
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  pyyaml = ">=5.1"
 
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  benchmark = ["optimum-benchmark (>=0.3.0)"]
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  codecarbon = ["codecarbon (>=2.8.1)"]
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  deepspeed = ["accelerate (>=0.26.0)", "deepspeed (>=0.9.3)"]
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2094
+ dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.3.2,<0.4)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
2095
+ dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"]
2096
+ dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "kernels (>=0.3.2,<0.4)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
2097
  flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
2098
  flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
2099
  ftfy = ["ftfy"]
2100
+ hf-xet = ["hf-xet"]
2101
  hub-kernels = ["kernels (>=0.3.2,<0.4)"]
2102
  integrations = ["kernels (>=0.3.2,<0.4)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
2103
  ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
 
2107
  onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
2108
  onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
2109
  optuna = ["optuna"]
2110
+ quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "libcst", "rich", "ruff (==0.11.2)", "urllib3 (<2.0.0)"]
2111
  ray = ["ray[tune] (>=2.7.0)"]
2112
  retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
2113
+ ruff = ["ruff (==0.11.2)"]
2114
  sagemaker = ["sagemaker (>=2.31.0)"]
2115
  sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
2116
  serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
2117
  sigopt = ["sigopt"]
2118
  sklearn = ["scikit-learn"]
2119
  speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
2120
+ testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
2121
  tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
2122
  tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
2123
  tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 
2127
  torch = ["accelerate (>=0.26.0)", "torch (>=2.0)"]
2128
  torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
2129
  torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
2130
+ torchhub = ["filelock", "huggingface-hub (>=0.30.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "tqdm (>=4.27)"]
2131
  video = ["av"]
2132
  vision = ["Pillow (>=10.0.1,<=15.0)"]
2133
 
 
2669
  [metadata]
2670
  lock-version = "2.1"
2671
  python-versions = "^3.12"
2672
+ content-hash = "9d76b663f841a91bd90acb2b8d3ea098e4479b567b6b7a900720fd8bcac8c4a7"
backend/pyproject.toml CHANGED
@@ -13,8 +13,8 @@ pandas = "^2.2.3"
13
  datasets = "^3.3.2"
14
  pyarrow = "^18.1.0"
15
  python-multipart = "^0.0.20"
16
- huggingface-hub = "0.29.1"
17
- transformers = "4.50.3"
18
  safetensors = "^0.5.3"
19
  aiofiles = "^24.1.0"
20
  fastapi-cache2 = "^0.2.1"
 
13
  datasets = "^3.3.2"
14
  pyarrow = "^18.1.0"
15
  python-multipart = "^0.0.20"
16
+ huggingface-hub = "0.30.2"
17
+ transformers = "4.51.3"
18
  safetensors = "^0.5.3"
19
  aiofiles = "^24.1.0"
20
  fastapi-cache2 = "^0.2.1"
frontend/src/pages/AddModelPage/components/SubmissionLimitChecker/SubmissionLimitChecker.js CHANGED
@@ -1,7 +1,7 @@
1
  import React, { useState, useEffect } from "react";
2
  import { Alert, Box, CircularProgress } from "@mui/material";
3
 
4
- const MAX_SUBMISSIONS_PER_WEEK = 100;
5
 
6
  function SubmissionLimitChecker({ user, children }) {
7
  const [loading, setLoading] = useState(true);
 
1
  import React, { useState, useEffect } from "react";
2
  import { Alert, Box, CircularProgress } from "@mui/material";
3
 
4
+ const MAX_SUBMISSIONS_PER_WEEK = 10;
5
 
6
  function SubmissionLimitChecker({ user, children }) {
7
  const [loading, setLoading] = useState(true);