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pyproject.toml
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53 lines (48 loc) · 1.11 KB
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[project]
name = "multipride"
version = "0.1.0"
description = "Detecting reclamatory slurs in multilingual social media text"
authors = [
{ name = "Matteo Fasulo", email = "mat.fasulo@gmail.com" },
{ name = "Luca Tedeschi", email = "luca.tedeschini00@gmail.com" },
]
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
"accelerate>=1.11.0",
"datasets>=4.4.0",
"evaluate>=0.4.6",
"google-generativeai>=0.8.5",
"huggingface-hub[hf-xet]>=0.36.0",
"matplotlib>=3.10.7",
"numpy==1.26.4",
"omegaconf>=2.3.0",
"pandas>=2.3.3",
"scikit-learn>=1.7.2",
"scipy>=1.15.3",
"seaborn>=0.13.2",
"torch-tb-profiler>=0.4.3",
"torch==2.8.0",
"tqdm>=4.67.1",
"transformers>=4.57.3",
]
[project.optional-dependencies]
dev = [
"black[jupyter]>=25.9.0",
"isort>=7.0.0",
]
[tool.uv.sources]
torch = [
{ index = "pytorch-cu126" },
]
[[tool.uv.index]]
name = "pytorch-cu126"
url = "https://download.pytorch.org/whl/cu126"
explicit = true
[tool.black]
line-length = 120
target-version = ['py312']
[tool.isort]
profile = "black"
line_length = 120
py_version = 312