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{
lib,
buildPythonPackage,
fetchFromGitHub,
pythonOlder,
setuptools,
# propagated build inputs
filelock,
huggingface-hub,
numpy,
protobuf,
packaging,
pyyaml,
regex,
requests,
tokenizers,
safetensors,
tqdm,
# optional dependencies
diffusers,
scikit-learn,
tensorflow,
onnxconverter-common,
opencv4,
tf2onnx,
torch,
accelerate,
faiss,
datasets,
jax,
jaxlib,
flax,
optax,
ftfy,
onnxruntime,
onnxruntime-tools,
cookiecutter,
sagemaker,
fairscale,
optuna,
ray,
pydantic,
uvicorn,
fastapi,
starlette,
librosa,
phonemizer,
torchaudio,
pillow,
timm,
torchvision,
av,
sentencepiece,
}:
buildPythonPackage rec {
pname = "transformers";
version = "4.41.2";
pyproject = true;
disabled = pythonOlder "3.8";
src = fetchFromGitHub {
owner = "huggingface";
repo = "transformers";
rev = "refs/tags/v${version}";
hash = "sha256-Y3WYO+63n/ATT9RmRJ9JLuhFWUiuBO4NL2KzvzELi+M=";
};
build-system = [ setuptools ];
dependencies = [
filelock
huggingface-hub
numpy
packaging
pyyaml
regex
requests
tokenizers
safetensors
tqdm
];
passthru.optional-dependencies =
let
audio = [
librosa
# pyctcdecode
phonemizer
# kenlm
];
vision = [ pillow ];
in
{
agents = [
diffusers
accelerate
datasets
torch
sentencepiece
opencv4
pillow
];
ja = [
# fugashi
# ipadic
# rhoknp
# sudachidict_core
# sudachipy
# unidic
# unidic_lite
];
sklearn = [ scikit-learn ];
tf = [
tensorflow
onnxconverter-common
tf2onnx
# tensorflow-text
# keras-nlp
];
torch = [
torch
accelerate
];
retrieval = [
faiss
datasets
];
flax = [
jax
jaxlib
flax
optax
];
tokenizers = [ tokenizers ];
ftfy = [ ftfy ];
onnxruntime = [
onnxruntime
onnxruntime-tools
];
onnx = [
onnxconverter-common
tf2onnx
onnxruntime
onnxruntime-tools
];
modelcreation = [ cookiecutter ];
sagemaker = [ sagemaker ];
deepspeed = [
# deepspeed
accelerate
];
fairscale = [ fairscale ];
optuna = [ optuna ];
ray = [ ray ] ++ ray.optional-dependencies.tune-deps;
# sigopt = [ sigopt ];
# integrations = ray ++ optuna ++ sigopt;
serving = [
pydantic
uvicorn
fastapi
starlette
];
audio = audio;
speech = [ torchaudio ] ++ audio;
torch-speech = [ torchaudio ] ++ audio;
tf-speech = audio;
flax-speech = audio;
timm = [ timm ];
torch-vision = [ torchvision ] ++ vision;
# natten = [ natten ];
# codecarbon = [ codecarbon ];
video = [
# decord
av
];
sentencepiece = [
sentencepiece
protobuf
];
};
# Many tests require internet access.
doCheck = false;
pythonImportsCheck = [ "transformers" ];
meta = {
homepage = "https://github.com/huggingface/transformers";
description = "Natural Language Processing for TensorFlow 2.0 and PyTorch";
mainProgram = "transformers-cli";
changelog = "https://github.com/huggingface/transformers/releases/tag/v${version}";
license = lib.licenses.asl20;
platforms = lib.platforms.unix;
maintainers = with lib.maintainers; [
pashashocky
happysalada
];
};
}
|
