Visual Document Retrieval
MLX
Safetensors
ColPali
English
colidefics3
colsmol
multi-vector
late-interaction
6-bit
Instructions to use DifferentProductions/colSmol-256M-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use DifferentProductions/colSmol-256M-6bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download DifferentProductions/colSmol-256M-6bit --local-dir colSmol-256M-6bit
- ColPali
How to use DifferentProductions/colSmol-256M-6bit 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
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from DifferentProductions/colSmol-256M-6bit: direct link, hf CLI and curl.
- Browser
- Download file 3.55 MB
-
https://huggingface.co/DifferentProductions/colSmol-256M-6bit/resolve/main/tokenizer.json
- Command line
-
hf download hf://DifferentProductions/colSmol-256M-6bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/DifferentProductions/colSmol-256M-6bit/resolve/main/tokenizer.json
3.55 MB
File too large to display, you can check the raw version instead.