Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

newmindai
/
ColmmBERT-base-TR

Sentence Similarity
Safetensors
sentence-transformers
Turkish
PyLate
modernbert
ColBERT
feature-extraction
Generated from Trainer
dataset_size:910904
loss:Contrastive
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use newmindai/ColmmBERT-base-TR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use newmindai/ColmmBERT-base-TR 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="newmindai/ColmmBERT-base-TR")
    
    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

Local Installation Video and Testing - Step by Step

❤️ 3
1
#1 opened 5 months ago by
fahdmirzac
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs