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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("webAI-Official/webAI-ColVec1-9b", trust_remote_code=True, device_map="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
Download model.safetensors from webAI-Official/webAI-ColVec1-9b: direct link, hf CLI and curl.
- Browser
- Download file 18.8 GB
-
https://huggingface.co/webAI-Official/webAI-ColVec1-9b/resolve/main/model.safetensors
- Command line
-
hf download hf://webAI-Official/webAI-ColVec1-9b/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/webAI-Official/webAI-ColVec1-9b/resolve/main/model.safetensors
18.8 GB
- Xet hash:
- 2fc8be65ca71d55579df40b9986a9047964f50493d2813e4caa3a802798f0224
- Size of remote file:
- 18.8 GB
- SHA256:
- df0211664297feed8aee74da5a0c60275512a41f08c7cb9d8a9387598f18903d
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