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codersan
/
FaLabse

Sentence Similarity
sentence-transformers
TensorBoard
Safetensors
Persian
English
bert
feature-extraction
Generated from Trainer
dataset_size:131157
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • sentence-transformers

    How to use codersan/FaLabse with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("codersan/FaLabse")
    
    sentences = [
        "عواقب ممنوعیت یادداشت های 500 روپیه و 1000 روپیه در مورد اقتصاد هند چیست؟",
        "آیا باید در فیزیک و علوم کامپیوتر دو برابر کنم؟",
        "چگونه اقتصاد هند پس از ممنوعیت 500 1000 یادداشت تحت تأثیر قرار گرفت؟",
        "آیا آلمان در اجازه پناهندگان سوری به کشور خود اشتباه کرد؟"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
FaLabse / 2_Dense
2.36 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
codersan's picture
codersan
Add new SentenceTransformer model
0fe1341 verified 9 months ago
  • config.json
    114 Bytes
    Add new SentenceTransformer model 9 months ago
  • model.safetensors
    2.36 MB
    xet
    Add new SentenceTransformer model 9 months ago