Visual Document Retrieval
Transformers
Safetensors
vision-language
retrieval
multimodal
multilingual
document-retrieval
matryoshka-embeddings
dense-retrieval
22-languages
Eval Results (legacy)
Instructions to use Cognitive-Lab/NetraEmbed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cognitive-Lab/NetraEmbed with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Cognitive-Lab/NetraEmbed", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
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