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procesaur
/
Emo355

Feature Extraction
sentence-transformers
Safetensors
Serbian
roberta
sentence-similarity
emotion-detection
serbian
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use procesaur/Emo355 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use procesaur/Emo355 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("procesaur/Emo355")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
Emo355 / 2_Dense
66 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
procesaur's picture
procesaur
Upload 11 files
0bd5ed4 verified 1 day ago
  • config.json
    234 Bytes
    Upload 11 files 1 day ago
  • model.safetensors
    65.8 kB
    xet
    Upload 11 files 1 day ago