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Baragi-AI
/
Munche-768

Sentence Similarity
PEFT
Safetensors
sentence-transformers
Korean
embeddings
feature-extraction
stylometry
authorship-analysis
korean
fiction
lora
Model card Files Files and versions
xet
Community
1

Instructions to use Baragi-AI/Munche-768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Baragi-AI/Munche-768 with PEFT:

    Task type is invalid.
  • sentence-transformers

    How to use Baragi-AI/Munche-768 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Baragi-AI/Munche-768")
    
    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
Munche-768
33.5 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
ij's picture
ij
Fix PEFT adapter key prefixes
3b1f0de verified about 14 hours ago
  • assets
    Emphasize Space link and align chart color 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • NOTICE
    97 Bytes
    Publish Munche-768 adapter and model card 2 days ago
  • README.md
    6.83 kB
    Link Munche-768-AI-Detector 2 days ago
  • adapter_config.json
    1.12 kB
    Publish Munche-768 adapter and model card 2 days ago
  • adapter_model.safetensors
    33.5 MB
    xet
    Fix PEFT adapter key prefixes about 14 hours ago