Add your description here
Project description
Usage
accelerate launch --multi_gpu main.py --input_path /home/henry/hard_negatives/test_pairs.parquet
@software{shippole2026hardnegatives,
title = {Hard Negatives: A Python Library for Mining Hard Negative Examples},
author = {Shippole, Enrico and Chaffin, Antoine and Aarsen, Tom},
year = {2026},
url = {https://github.com/teraflop-ai/hard-negatives},
version = {1.0.0},
note = {Python package available on PyPI at \url{https://pypi.org/project/hard-negatives/}}
}
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hard_negatives-0.1.0.tar.gz
(6.2 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file hard_negatives-0.1.0.tar.gz.
File metadata
- Download URL: hard_negatives-0.1.0.tar.gz
- Upload date:
- Size: 6.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.6.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7e0c652660cd083a22db73afc4976e37392530f5086d7f45a7e967f1d95651bb
|
|
| MD5 |
08e14a6818320018212886419c564fe6
|
|
| BLAKE2b-256 |
5d34854e7d78e0f2ac29faf7dc7729278eda396cae1c9ebdd4c24fa8295d91ac
|
File details
Details for the file hard_negatives-0.1.0-py3-none-any.whl.
File metadata
- Download URL: hard_negatives-0.1.0-py3-none-any.whl
- Upload date:
- Size: 6.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.6.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0aa36d89441155e1252af8afaffca7887198d3267688b0d2cdb0374bade3e25e
|
|
| MD5 |
1f86cbb471f722d7debaf66d47af1675
|
|
| BLAKE2b-256 |
01d9a5932220b56371440ec30f42d4d084015b68dc48781991a1670537db206f
|