{
  lib,
  stdenv,
  buildPythonPackage,
  braceexpand,
  ftfy,
  huggingface-hub,
  pandas,
  protobuf,
  pytestCheckHook,
  regex,
  sentencepiece,
  timm,
  torch,
  torchvision,
  tqdm,
  transformers,
  setuptools,
  webdataset,
  wheel,
  fetchFromGitHub,
}:
buildPythonPackage rec {
  pname = "open-clip-torch";
  version = "2.24.0";
  pyproject = true;

  src = fetchFromGitHub {
    owner = "mlfoundations";
    repo = "open_clip";
    rev = "refs/tags/v${version}";
    hash = "sha256-ugbXnXiOY9FrNvr8ZxnAgZO/SLCVoXbRgupi8cUwflU=";
  };

  nativeBuildInputs = [
    setuptools
    wheel
  ];

  propagatedBuildInputs = [
    ftfy
    huggingface-hub
    protobuf
    regex
    sentencepiece
    timm
    torch
    torchvision
    tqdm
  ];

  nativeCheckInputs = [
    pytestCheckHook
    braceexpand
    pandas
    transformers
    webdataset
  ];

  pythonImportsCheck = [ "open_clip" ];

  disabledTestPaths = lib.optionals (stdenv.isAarch64 || stdenv.isDarwin) [ "tests/test_wds.py" ];

  disabledTests =
    [
      # requires network
      "test_download_pretrained_from_hfh"
      "test_inference_simple"
      "test_inference_with_data"
      "test_pretrained_text_encoder"
      "test_training_mt5"
      # fails due to type errors
      "test_num_shards"
    ]
    ++ lib.optionals (stdenv.isAarch64 && stdenv.isLinux) [
      "test_training"
      "test_training_coca"
      "test_training_unfreezing_vit"
      "test_training_clip_with_jit"
    ];

  meta = with lib; {
    description = "An open source implementation of CLIP";
    homepage = "https://github.com/mlfoundations/open_clip";
    license = licenses.asl20;
    maintainers = with maintainers; [ iynaix ];
    mainProgram = "open-clip";
  };
}