Instructions to use ByteDance-Seed/BAGEL-7B-MoT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Bagel
How to use ByteDance-Seed/BAGEL-7B-MoT with Bagel:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Add VDEBench evaluation results
#28
by hongzhuyi - opened
Hi π this PR adds this model's VDEBench scores to .eval_results/, so they show up on the model page and the VDEBench leaderboard.
VDEBench evaluates instruction-guided editing of dense English/Chinese document pages (3,506 examples). Each score is the equally weighted mean of IoU, CDM, BLEU-4 and TEDS (0β1, higher is better):
| Task | Score β |
|---|---|
local (edited region, headline) |
0.706 |
global (full page) |
0.786 |
These results come from the VDEBench team's new full evaluation of BAGEL-7B-MoT. Detailed results.
BAGEL was evaluated in ordinary image-editing mode, with thinking disabled.
Thanks!