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-1b-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/llama-nemoretriever-colembed-1b-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/llama-nemoretriever-colembed-1b-v1", trust_remote_code=True, dtype="auto") - ColPali
How to use nvidia/llama-nemoretriever-colembed-1b-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
Broken Sample Code?
👍 1
#4 opened 10 months ago
by
bensgiacalone
Which languages are supported?
1
#3 opened 10 months ago
by
DentroDevelopment