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{ lib
, buildPythonPackage
, fetchFromGitHub
, pythonOlder
# propagated build inputs
, filelock
, huggingface-hub
, numpy
, protobuf
, packaging
, pyyaml
, regex
, requests
, tokenizers
, safetensors
, tqdm
# optional dependencies
, scikit-learn
, tensorflow
, onnxconverter-common
, 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 = "4.35.2";
format = "setuptools";
disabled = pythonOlder "3.8";
src = fetchFromGitHub {
owner = "huggingface";
repo = "transformers";
rev = "refs/tags/v${version}";
hash = "sha256-h1RMSEcuali05AWeTm1wyZQJz6XrHamCF1eHrSnFnfM=";
};
propagatedBuildInputs = [
filelock
huggingface-hub
numpy
packaging
pyyaml
regex
requests
tokenizers
safetensors
tqdm
];
passthru.optional-dependencies =
let
audio = [
librosa
# pyctcdecode
phonemizer
# kenlm
];
vision = [ pillow ];
in
{
ja = [
# fugashi
# ipadic
# rhoknp
# sudachidict_core
# sudachipy
# unidic
# unidic_lite
];
sklearn = [
scikit-learn
];
tf = [
tensorflow
onnxconverter-common
tf2onnx
# tensorflow-text
# keras-nlp
];
torch = [
torch
accelerate
];
retrieval = [ faiss datasets ];
flax = [ jax jaxlib flax optax ];
tokenizers = [
tokenizers
];
ftfy = [ ftfy ];
onnxruntime = [
onnxruntime
onnxruntime-tools
];
onnx = [
onnxconverter-common
tf2onnx
onnxruntime
onnxruntime-tools
];
modelcreation = [
cookiecutter
];
sagemaker = [
sagemaker
];
deepspeed = [
# deepspeed
accelerate
];
fairscale = [ fairscale ];
optuna = [ optuna ];
ray = [ ray ] ++ ray.optional-dependencies.tune-deps;
# sigopt = [ sigopt ];
# integrations = ray ++ optuna ++ sigopt;
serving = [
pydantic
uvicorn
fastapi
starlette
];
audio = audio;
speech = [ torchaudio ] ++ audio;
torch-speech = [ torchaudio ] ++ audio;
tf-speech = audio;
flax-speech = audio;
timm = [ timm ];
torch-vision = [ torchvision ] ++ vision;
# natten = [ natten ];
# codecarbon = [ codecarbon ];
video = [
# decord
av
];
sentencepiece = [ sentencepiece protobuf ];
};
# Many tests require internet access.
doCheck = false;
pythonImportsCheck = [
"transformers"
];
meta = with lib; {
homepage = "https://github.com/huggingface/transformers";
description = "Natural Language Processing for TensorFlow 2.0 and PyTorch";
changelog = "https://github.com/huggingface/transformers/releases/tag/v${version}";
license = licenses.asl20;
platforms = platforms.unix;
maintainers = with maintainers; [ pashashocky happysalada ];
};
}
|