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codersan
/
FaLabseV13p1

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:109673
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use codersan/FaLabseV13p1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use codersan/FaLabseV13p1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("codersan/FaLabseV13p1")
    
    sentences = [
        "اخترشناس معروف واقعی کیست؟",
        "چرا دولت هند به طور ناگهانی از شیطنت 500 و 1000 روپیه خبر داد؟",
        "اخترشناس فوق العاده استاد کیست؟",
        "چگونه باید برای مکان های دانشگاه آماده شد؟"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
FaLabseV13p1 / 2_Dense
2.36 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
codersan's picture
codersan
Add new SentenceTransformer model
f3473ce verified 10 months ago
  • config.json
    114 Bytes
    Add new SentenceTransformer model 10 months ago
  • model.safetensors
    2.36 MB
    xet
    Add new SentenceTransformer model 10 months ago