Visual Document Retrieval
PEFT
Safetensors
ColPali
vidore
multimodal_embedding
multilingual_embedding
Text-to-Visual Document (T→VD) retrieval
Instructions to use nomic-ai/colnomic-embed-multimodal-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nomic-ai/colnomic-embed-multimodal-7b with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("nomic-ai/colqwen2.5-7B-base") model = PeftModel.from_pretrained(base_model, "nomic-ai/colnomic-embed-multimodal-7b") - ColPali
How to use nomic-ai/colnomic-embed-multimodal-7b 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
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