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:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Cognitive-Lab/ColNetraEmbed") model = AutoModelForImageTextToText.from_pretrained("Cognitive-Lab/ColNetraEmbed") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token_id": 2, | |
| "cache_implementation": "hybrid", | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 1, | |
| 106 | |
| ], | |
| "pad_token_id": 0, | |
| "top_k": 64, | |
| "top_p": 0.95, | |
| "transformers_version": "4.50.0.dev0" | |
| } | |