Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

vidore
/
colqwen2-v0.1

Visual Document Retrieval
ColPali
Safetensors
sentence-transformers
English
vidore
vidore-experimental
multi-vector
Model card Files Files and versions
xet
Community
10

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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

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
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs