Instructions to use vidore/colSmol-500M-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ColPali
How to use vidore/colSmol-500M-base with ColPali:
# 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
Download processor_config.json from vidore/colSmol-500M-base: direct link, hf CLI and curl.
- Browser
- Download file 68 Bytes
-
https://huggingface.co/vidore/colSmol-500M-base/resolve/main/processor_config.json
- Command line
-
hf download hf://vidore/colSmol-500M-base/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/vidore/colSmol-500M-base/resolve/main/processor_config.json
68 Bytes
| { | |
| "image_seq_len": 64, | |
| "processor_class": "Idefics3Processor" | |
| } | |