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

  • Log In
  • Sign Up

AlIshaq
/
SBERT-FAQ-Pesantren-v2

Sentence Similarity
sentence-transformers
TensorBoard
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:9000
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use AlIshaq/SBERT-FAQ-Pesantren-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use AlIshaq/SBERT-FAQ-Pesantren-v2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("AlIshaq/SBERT-FAQ-Pesantren-v2")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
SBERT-FAQ-Pesantren-v2 / eval
580 Bytes
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
AlIshaq's picture
AlIshaq
Upload 77 files
39aac4f verified 11 months ago
  • similarity_evaluation_eval_results.csv
    580 Bytes
    Upload 77 files 11 months ago