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-ColVec1-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use webAI-Official/webAI-ColVec1-4b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("webAI-Official/webAI-ColVec1-4b", trust_remote_code=True, dtype="auto") - ColPali
How to use webAI-Official/webAI-ColVec1-4b 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: 390 Bytes
52a092a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"architectures": [
"ColVec1"
],
"auto_map": {
"AutoConfig": "configuration_colvec1.ColVec1Config",
"AutoModel": "model.ColVec1"
},
"base_model_name_or_path": "Qwen/Qwen3.5-4B",
"dtype": "bfloat16",
"embed_dim": 640,
"initializer_range": 0.02,
"model_type": "colvec1",
"padding_side": "left",
"text_hidden_size": 2560,
"transformers_version": "5.3.0"
}
|