Visual Document Retrieval
Transformers
Safetensors
ColPali
multilingual
colvec1
feature-extraction
text
image
video
multimodal-embedding
vidore
colqwen3_5
multilingual-embedding
custom_code
Instructions to use webAI-Official/webAI-ColVec1-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use webAI-Official/webAI-ColVec1-9b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("webAI-Official/webAI-ColVec1-9b", trust_remote_code=True, dtype="auto") - ColPali
How to use webAI-Official/webAI-ColVec1-9b 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
| { | |
| "architectures": [ | |
| "ColVec1" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_colvec1.ColVec1Config", | |
| "AutoModel": "model.ColVec1" | |
| }, | |
| "base_model_name_or_path": "Qwen/Qwen3.5-9B", | |
| "dtype": "bfloat16", | |
| "embed_dim": 2560, | |
| "initializer_range": 0.02, | |
| "model_type": "colvec1", | |
| "padding_side": "left", | |
| "text_hidden_size": 4096, | |
| "transformers_version": "5.3.0" | |
| } | |