Visual Document Retrieval
ColPali
Safetensors
sentence-transformers
English
vidore
vidore-experimental
multi-vector
Instructions to use vidore/colpali-v1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ColPali
How to use vidore/colpali-v1.2 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
- sentence-transformers
How to use vidore/colpali-v1.2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vidore/colpali-v1.2") 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] - Notebooks
- Google Colab
- Kaggle
Remove convert_to_tensor=True in MultiVectorEncoder, this parameter was removed
#13
by tomaarsen HF Staff - opened
Hello!
This simple PR removes convert_to_tensor=True in the MultiVectorEncoder encode_query/encode_document/encode calls, as I removed this parameter and made a Tensor output the default just prior to the release. I didn't realize these snippets still used this parameter, my apologies!
- Tom Aarsen
QuentinJG changed pull request status to merged