Visual Document Retrieval
ColPali
Safetensors
sentence-transformers
English
vidore
vidore-experimental
multi-vector
Instructions to use vidore/colqwen2-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ColPali
How to use vidore/colqwen2-v0.1 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/colqwen2-v0.1 with sentence-transformers:
from sentence_transformers import MultiVectorEncoder model = MultiVectorEncoder("vidore/colqwen2-v0.1") queries = ["Which planet is known as the Red Planet?"] documents = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", ] query_embeddings = model.encode_query(queries) document_embeddings = model.encode_document(documents) similarities = model.similarity(query_embeddings, document_embeddings) print(similarities) - Notebooks
- Google Colab
- Kaggle
Tracing ColQwen2 using torch.jit.trace
#8 opened about 1 year ago
by
dreidizzle
I want to Fine Tune vidore/colqwen2-v0.1. Can i get a sample Notebook that can be refered to fine tune the model
#7 opened over 1 year ago
by
deepak1pec
Missing config.json?
2
#5 opened almost 2 years ago
by
ernestyalumni
How to merge it?
#4 opened almost 2 years ago
by
michaelfeil
InternVL colpali
#3 opened about 2 years ago
by
khang119966