107 lines
1.8 KiB
Nix
107 lines
1.8 KiB
Nix
{ lib
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, buildPythonPackage
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, fetchFromGitHub
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, pythonOlder
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, cookiecutter
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, filelock
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, huggingface-hub
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, importlib-metadata
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, regex
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, requests
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, numpy
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, packaging
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, tensorflow
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, sagemaker
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, ftfy
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, protobuf
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, scikit-learn
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, pillow
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, pyyaml
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, torch
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, tokenizers
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, tqdm
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}:
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buildPythonPackage rec {
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pname = "transformers";
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version = "4.26.1";
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format = "setuptools";
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disabled = pythonOlder "3.7";
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src = fetchFromGitHub {
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owner = "huggingface";
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repo = pname;
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rev = "refs/tags/v${version}";
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hash = "sha256-JRW3uSPgWgvtH4WFQLHD1ma8L1qq05MSemJbcdYMC6E=";
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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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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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tqdm
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] ++ lib.optionals (pythonOlder "3.8") [
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importlib-metadata
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];
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passthru.optional-dependencies = {
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ja = [
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# fugashi
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# ipadic
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# unidic_lite
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# unidic
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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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];
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torch = [
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torch
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];
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tokenizers = [
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tokenizers
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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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ftfy = [ ftfy ];
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onnx = [
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# onnxconverter-common
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# tf2onnx
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];
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vision = [
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pillow
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];
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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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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 ];
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};
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}
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