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54 lines (46 loc) · 1.26 KB
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[project]
name = "progressive_cramming"
version = "0.1.0"
description = "Progressive Cramming: reliable token compression into learnable memory embeddings."
readme = "README.md"
requires-python = ">=3.11"
license = { text = "MIT" }
authors = [
{ name = "Dmitrii Tarasov" },
{ name = "Lashukov" },
{ name = "Elena Goncharova" },
{ name = "Andrey Kuznetsov" },
]
keywords = ["token-compression", "cramming", "memory-embeddings", "language-models", "interpretability"]
dependencies = [
"accelerate>=0.26.0",
"datasets>=4.3.0",
"numpy>=1.26",
"scikit-learn>=1.7.2",
"tensorboard>=2.20.0",
"torch>=2.9.0",
"tqdm>=4.67.1",
"transformers>=4.57.1",
]
[project.urls]
Repository = "https://github.com/FusionBrainLab/progressive_cramming"
Slides = "https://fusionbrainlab.github.io/progressive_cramming/slides/"
[project.scripts]
progressive-cramming = "progressive_cramming.run:main"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["src/progressive_cramming"]
[dependency-groups]
dev = [
"pytest>=8.4.2",
"ruff>=0.14.3",
]
[tool.ruff]
target-version = "py311"
line-length = 128
src = ["src"]
[tool.ruff.lint]
extend-select = ["E", "I"]
ignore = ["E203", "E501"]