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: 215 Bytes
607e4b7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"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"
}
|