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iambestfeed
/
halong_colbert

Sentence Similarity
PyTorch
Safetensors
sentence-transformers
PyLate
xlm-roberta
ColBERT
feature-extraction
Generated from Trainer
dataset_size:200000
loss:Distillation
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use iambestfeed/halong_colbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use iambestfeed/halong_colbert with sentence-transformers:

    from pylate import models
    
    queries = [
        "Which planet is known as the Red Planet?",
        "What is the largest planet in our solar system?",
    ]
    
    documents = [
        ["Mars is the Red Planet.", "Venus is Earth's twin."],
        ["Jupiter is the largest planet.", "Saturn has rings."],
    ]
    
    model = models.ColBERT(model_name_or_path="iambestfeed/halong_colbert")
    
    queries_emb = model.encode(queries, is_query=True)
    docs_emb = model.encode(documents, is_query=False)
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#2 opened 11 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened 11 months ago by
SFconvertbot
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