199 lines
3.3 KiB
Nix
199 lines
3.3 KiB
Nix
{ lib
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, buildPythonPackage
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, fetchFromGitHub
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, pythonOlder
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, setuptools
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# propagated build inputs
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, filelock
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, huggingface-hub
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, numpy
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, protobuf
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, packaging
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, pyyaml
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, regex
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, requests
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, tokenizers
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, safetensors
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, tqdm
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# optional dependencies
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, diffusers
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, scikit-learn
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, tensorflow
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, onnxconverter-common
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, opencv4
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, tf2onnx
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, torch
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, accelerate
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, faiss
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, datasets
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, jax
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, jaxlib
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, flax
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, optax
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, ftfy
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, onnxruntime
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, onnxruntime-tools
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, cookiecutter
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, sagemaker
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, fairscale
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, optuna
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, ray
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, pydantic
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, uvicorn
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, fastapi
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, starlette
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, librosa
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, phonemizer
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, torchaudio
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, pillow
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, timm
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, torchvision
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, av
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, sentencepiece
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}:
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buildPythonPackage rec {
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pname = "transformers";
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version = "4.40.0";
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pyproject = true;
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disabled = pythonOlder "3.8";
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src = fetchFromGitHub {
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owner = "huggingface";
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repo = "transformers";
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rev = "refs/tags/v${version}";
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hash = "sha256-k0AloOG7fRQhTW8IF6uQSfav8p1KC5633SaLNYZrZ2M=";
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};
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build-system = [
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setuptools
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];
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propagatedBuildInputs = [
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filelock
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huggingface-hub
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numpy
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packaging
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pyyaml
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regex
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requests
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tokenizers
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safetensors
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tqdm
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];
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passthru.optional-dependencies =
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let
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audio = [
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librosa
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# pyctcdecode
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phonemizer
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# kenlm
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];
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vision = [ pillow ];
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in
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{
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agents = [
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diffusers
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accelerate
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datasets
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torch
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sentencepiece
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opencv4
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pillow
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];
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ja = [
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# fugashi
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# ipadic
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# rhoknp
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# sudachidict_core
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# sudachipy
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# unidic
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# unidic_lite
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];
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sklearn = [
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scikit-learn
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];
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tf = [
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tensorflow
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onnxconverter-common
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tf2onnx
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# tensorflow-text
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# keras-nlp
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];
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torch = [
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torch
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accelerate
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];
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retrieval = [ faiss datasets ];
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flax = [ jax jaxlib flax optax ];
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tokenizers = [
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tokenizers
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];
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ftfy = [ ftfy ];
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onnxruntime = [
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onnxruntime
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onnxruntime-tools
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];
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onnx = [
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onnxconverter-common
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tf2onnx
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onnxruntime
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onnxruntime-tools
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];
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modelcreation = [
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cookiecutter
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];
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sagemaker = [
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sagemaker
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];
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deepspeed = [
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# deepspeed
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accelerate
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];
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fairscale = [ fairscale ];
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optuna = [ optuna ];
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ray = [ ray ] ++ ray.optional-dependencies.tune-deps;
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# sigopt = [ sigopt ];
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# integrations = ray ++ optuna ++ sigopt;
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serving = [
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pydantic
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uvicorn
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fastapi
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starlette
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];
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audio = audio;
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speech = [ torchaudio ] ++ audio;
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torch-speech = [ torchaudio ] ++ audio;
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tf-speech = audio;
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flax-speech = audio;
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timm = [ timm ];
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torch-vision = [ torchvision ] ++ vision;
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# natten = [ natten ];
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# codecarbon = [ codecarbon ];
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video = [
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# decord
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av
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];
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sentencepiece = [ sentencepiece protobuf ];
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};
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# Many tests require internet access.
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doCheck = false;
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pythonImportsCheck = [
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"transformers"
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];
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meta = with lib; {
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homepage = "https://github.com/huggingface/transformers";
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description = "Natural Language Processing for TensorFlow 2.0 and PyTorch";
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mainProgram = "transformers-cli";
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changelog = "https://github.com/huggingface/transformers/releases/tag/v${version}";
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license = licenses.asl20;
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platforms = platforms.unix;
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maintainers = with maintainers; [ pashashocky happysalada ];
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};
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}
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