Visual Document Retrieval
Transformers
Safetensors
ColPali
multilingual
llama_nemoretrievercolembed
feature-extraction
text
image
vidore
multimodal-embedding
multilingual-embedding
Text-to-Visual Document (T→VD) retrieval
custom_code
Instructions to use nvidia/llama-nemoretriever-colembed-3b-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/llama-nemoretriever-colembed-3b-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/llama-nemoretriever-colembed-3b-v1", trust_remote_code=True, dtype="auto") - ColPali
How to use nvidia/llama-nemoretriever-colembed-3b-v1 with ColPali:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
possible to integrate with vidore bench codebase
#6 opened 9 months ago
by
Buluchacha
vector db proven to work here
#5 opened 9 months ago
by
sca32b
Update configuration_eagle_chat.py
#4 opened 9 months ago
by
FacerAin
I can't execute this
1
#3 opened 10 months ago
by
SmallPS
About Real-World Application
4
#2 opened 11 months ago
by
Ideal319