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
- Xet hash:
- 458bcbf483ed805b4297af928f717e64bd00c633a07be5fae5717cacbd48e2ef
- Size of remote file:
- 20 MB
- SHA256:
- 87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
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