deer/pyproject.toml at main · TJ-coding/deer · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
[build-system]
requires = ["setuptools", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "deer-probe"
version = "0.1.1"
description = "DEER is an encoder-based knowledge graph completion (KGC) model that uses embedding vectors from generative language models for few-shot learning. It retains in-context learning while ensuring efficient large-scale inference without fine-tuning. DEER excels at predicting new relation types in small KGs and aligns with LAMA for knowledge probing, making it a scalable tool for evaluating factual knowledge in PLMs."
readme = "README.md"
authors = [
    { name = "tj-coding", email = "jinno.tomoyuki.jx3@naist.ac.uk" }
]
dependencies = [
    "beartype",
    "typer",
    "tqdm",
    "torch",
    "transformers",
    "accelerate"
]
requires-python = ">=3.8"
license = { text = "MIT" }

[project.urls]
Homepage = "https://github.com/TJ-coding/deer"
Repository = "https://github.com/TJ-coding/deer"
Issues = "https://github.com/TJ-coding/deer/issues"

[project.optional-dependencies]
dev = [
    "pytest",
    "black",
    "flake8"
]

[tool.black]
line-length = 88

[tool.pytest.ini_options]
testpaths = ["tests"]