Instructions to use atkinschang/TableFormerV2-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use atkinschang/TableFormerV2-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download atkinschang/TableFormerV2-MLX --local-dir TableFormerV2-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Publish MLX-converted weights of docling-project/TableFormerV2 at 51559fad3946873e26a6f9b8e912f948e8745bef
79a9ab1 Download generation_config.json from atkinschang/TableFormerV2-MLX: direct link, hf CLI and curl.
- Browser
- Download file 34 Bytes
-
https://huggingface.co/atkinschang/TableFormerV2-MLX/resolve/main/generation_config.json
- Command line
-
hf download hf://atkinschang/TableFormerV2-MLX/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/atkinschang/TableFormerV2-MLX/resolve/main/generation_config.json
34 Bytes
| { | |
| "max_generation_steps": 512 | |
| } | |