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
File size: 336 Bytes
4d0bdb1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"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"
} |