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
Commit History
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Fix ColVec README model links
Verified signature## Summary - replace the two `TODO` destinations for `webAI-ColVec1-9b` and `webAI-ColVec1-4b` with their canonical Hugging Face model URLs - leave the benchmark values and all other model-card content unchanged ## Validation - verified both target model URLs return HTTP 200 - confirmed the committed diff is README-only (`2` additions, `2` deletions) - ran `git diff --check` - verified no other Markdown link destinations changed AI assistance: Prepared with OpenAI Codex assistance under human direction.04e9770
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added link to the new model
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Update README: Qwen model link update
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Update README.md
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README update
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Upload README.md
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Adding LICENSE & NOTICES
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Upload folder using huggingface_hub
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initial commit
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