Instructions to use vidore/colpali-v1.3-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use vidore/colpali-v1.3-merged with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vidore/colpali-v1.3-merged") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - ColPali
How to use vidore/colpali-v1.3-merged 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
Is there a way to git clone a colpali-v1.2/colpali-v1.3 merged version that is already trained
#6 opened over 1 year ago
by
chrisldc
SigLIP 2 & PaliGemma-mix
#4 opened over 1 year ago
by
martineden
Saving to local system for offline use.
#3 opened over 1 year ago
by
vtgs
Update metadata with huggingface_hub
#2 opened over 1 year ago
by
merve