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79 lines
1.5 KiB
Nix
79 lines
1.5 KiB
Nix
{
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lib,
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buildPythonPackage,
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fetchPypi,
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# build-system
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setuptools,
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# dependencies
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bitarray,
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datasets,
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flask,
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python-dotenv,
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ninja,
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scipy,
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tqdm,
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transformers,
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ujson,
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gitpython,
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torch,
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faiss,
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}:
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buildPythonPackage rec {
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pname = "colbert-ai";
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version = "0.2.21";
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pyproject = true;
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src = fetchPypi {
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inherit version;
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pname = "colbert_ai";
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hash = "sha256-qNb9tOInLysI7Tf45QlgchYNhBXR5AWFdRiYt35iW6s=";
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};
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# ImportError: cannot import name 'AdamW' from 'transformers'
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# https://github.com/stanford-futuredata/ColBERT/pull/390
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postPatch = ''
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substituteInPlace colbert/training/training.py \
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--replace-fail \
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"from transformers import AdamW, get_linear_schedule_with_warmup" \
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"from transformers import get_linear_schedule_with_warmup; from torch.optim import AdamW"
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'';
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pythonRemoveDeps = [ "git-python" ];
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build-system = [
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setuptools
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];
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dependencies = [
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bitarray
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datasets
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faiss
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flask
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gitpython
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python-dotenv
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ninja
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scipy
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torch
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tqdm
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transformers
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ujson
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];
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pythonImportsCheck = [ "colbert" ];
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# There is no tests
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doCheck = false;
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meta = {
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description = "Fast and accurate retrieval model, enabling scalable BERT-based search over large text collections in tens of milliseconds";
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homepage = "https://github.com/stanford-futuredata/ColBERT";
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license = lib.licenses.mit;
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maintainers = with lib.maintainers; [
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bachp
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];
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};
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}
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