This repository is designed to simplify the evaluation process of vision-language models. It provides a comprehensive set of tools and scripts for evaluating VLM models and benchmarks.
Project description
The author of this package has not provided a project description
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
unibench-0.2.0.tar.gz
(88.9 kB
view details)
Built Distribution
unibench-0.2.0-py3-none-any.whl
(100.2 kB
view details)
File details
Details for the file unibench-0.2.0.tar.gz.
File metadata
- Download URL: unibench-0.2.0.tar.gz
- Upload date:
- Size: 88.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.0 CPython/3.12.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 46ee0e1b1480f77f20a2c194b5a8c6e502f9f4c23ace14f05f5367716e6d6a43 |
|
| MD5 | a318cca1f866e935ea27a5c02c9c4138 |
|
| BLAKE2b-256 | 5a15949d5aec6e839fb2a888a94773c18d52ef2b787c045f9204b5fbb498baac |
File details
Details for the file unibench-0.2.0-py3-none-any.whl.
File metadata
- Download URL: unibench-0.2.0-py3-none-any.whl
- Upload date:
- Size: 100.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.0 CPython/3.12.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0aba51639886b982ff7595a327315047e5517918061d3c639eab87181696958e |
|
| MD5 | 879897536d56b5fb7b21b88c2f1be8ac |
|
| BLAKE2b-256 | 0bec3393e2faa43d773321fc9641100115f2b40039bdfdb4fa1dece007151075 |
