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brokkai
/
Muninn

Sentence Similarity
sentence-transformers
Safetensors
qwen3
code-retrieval
multilingual
matryoshka
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use brokkai/Muninn with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("brokkai/Muninn", trust_remote_code=True)
    
    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
Muninn
704 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
jbellis-brokk's picture
jbellis-brokk
Publish Muninn v1
32cd7ff verified 3 days ago
  • 1_Pooling
    Publish Muninn v1 3 days ago
  • .gitattributes
    101 Bytes
    Publish Muninn v1 3 days ago
  • LICENSE
    11.4 kB
    Publish Muninn v1 3 days ago
  • README.md
    3.05 kB
    Publish Muninn v1 3 days ago
  • config.json
    99.2 kB
    Publish Muninn v1 3 days ago
  • config_sentence_transformers.json
    403 Bytes
    Publish Muninn v1 3 days ago
  • model.safetensors
    693 MB
    xet
    Publish Muninn v1 3 days ago
  • modeling_qwen3_bidirectional.py
    3.13 kB
    Publish Muninn v1 3 days ago
  • modules.json
    429 Bytes
    Publish Muninn v1 3 days ago
  • sentence_bert_config.json
    241 Bytes
    Publish Muninn v1 3 days ago
  • tokenizer.json
    11.4 MB
    xet
    Publish Muninn v1 3 days ago
  • tokenizer_config.json
    858 Bytes
    Publish Muninn v1 3 days ago