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roig
/
compass-product-classifier

Sentence Similarity
sentence-transformers
Safetensors
distilbert
feature-extraction
dense
Generated from Trainer
dataset_size:3324
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use roig/compass-product-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use roig/compass-product-classifier with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("roig/compass-product-classifier")
    
    sentences = [
        "Pizarra acústica de guitarra Dunlop T213C negra - Top plate de reemplazo para guitarras acústicas, fabricada en madera maciza (arce), con perforaciones para mejor resonancia y acabado negro mate",
        "Accesorios para instrumentos musicales / Musical instrument accessories",
        "Personal Care / Aseo",
        "Sistema limpiaparabrisas / Windshield wiper system"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
compass-product-classifier / 2_Dense
1.58 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
roig's picture
roig
Fine-tuned product classifier: 62% accuracy, +34 points improvement
fd9bd1d verified 5 months ago
  • config.json
    132 Bytes
    Fine-tuned product classifier: 62% accuracy, +34 points improvement 5 months ago
  • model.safetensors
    1.58 MB
    xet
    Fine-tuned product classifier: 62% accuracy, +34 points improvement 5 months ago