Visual Document Retrieval
Transformers
Safetensors
multilingual
qwen3_5
feature-extraction
text
image
multimodal-embedding
vidore
colbert
colqwen3_5
multilingual-embedding
custom_code
Instructions to use webAI-Official/webAI-ColVec1.1-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use webAI-Official/webAI-ColVec1.1-4b with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("webAI-Official/webAI-ColVec1.1-4b", trust_remote_code=True) model = AutoModel.from_pretrained("webAI-Official/webAI-ColVec1.1-4b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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@@ -173,12 +173,12 @@ model = AutoModel.from_pretrained(
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).eval()
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queries = [
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"
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"
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document_urls = [
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"https://upload.wikimedia.org/wikipedia/commons/
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"https://upload.wikimedia.org/wikipedia/commons/
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]
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).eval()
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queries = [
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"When was the United States Declaration of Independence proclaimed?",
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"Who printed the edition of Romeo and Juliet?",
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]
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document_urls = [
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"https://upload.wikimedia.org/wikipedia/commons/8/89/US-original-Declaration-1776.jpg",
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"https://upload.wikimedia.org/wikipedia/commons/thumb/4/4c/Romeoandjuliet1597.jpg/500px-Romeoandjuliet1597.jpg",
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]
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