Feature Extraction
Safetensors
ColPali
English
colpali-engine
colqwen2_5
colqwen
multi-vector
late-interaction
visual-document-retrieval
document-ai
quantization
maxsim
Instructions to use Adityapande403/VisDoc-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ColPali
How to use Adityapande403/VisDoc-AI 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 config.json from Adityapande403/VisDoc-AI: direct link, hf CLI and curl.
- Browser
- Download file 336 Bytes
-
https://huggingface.co/Adityapande403/VisDoc-AI/resolve/main/config.json
- Command line
-
hf download hf://Adityapande403/VisDoc-AI/config.json
-
curl -L -o config.json https://huggingface.co/Adityapande403/VisDoc-AI/resolve/main/config.json
336 Bytes
| { | |
| "architectures": [ | |
| "ColQwen2_5" | |
| ], | |
| "model_type": "colqwen2_5", | |
| "base_model": "vidore/colqwen2.5-v0.2", | |
| "embedding_dim": 128, | |
| "projection_dim": 128, | |
| "torch_dtype": "bfloat16", | |
| "similarity_metric": "maxsim", | |
| "quantization_schemes": [ | |
| "fp16", | |
| "int8", | |
| "binary" | |
| ], | |
| "version": "0.1.0" | |
| } |