Visual Document Retrieval
Transformers
Safetensors
gemma3
image-text-to-text
vision-language
retrieval
colbert
late-interaction
multimodal
multilingual
document-retrieval
22-languages
Eval Results (legacy)
text-generation-inference
Instructions to use Cognitive-Lab/ColNetraEmbed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cognitive-Lab/ColNetraEmbed with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Cognitive-Lab/ColNetraEmbed") model = AutoModelForMultimodalLM.from_pretrained("Cognitive-Lab/ColNetraEmbed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ColNetraEmbed_InferenceDemo.ipynb from Cognitive-Lab/ColNetraEmbed: direct link, hf CLI and curl.
- Browser
- Download file 3.35 MB
-
https://huggingface.co/Cognitive-Lab/ColNetraEmbed/resolve/1358b15addb3501adb552b3392fc8bd7d8d65b37/ColNetraEmbed_InferenceDemo.ipynb
- Command line
-
hf download hf://Cognitive-Lab/ColNetraEmbed@1358b15addb3501adb552b3392fc8bd7d8d65b37/ColNetraEmbed_InferenceDemo.ipynb
-
curl -L -o ColNetraEmbed_InferenceDemo.ipynb https://huggingface.co/Cognitive-Lab/ColNetraEmbed/resolve/1358b15addb3501adb552b3392fc8bd7d8d65b37/ColNetraEmbed_InferenceDemo.ipynb
3.35 MB