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mayflowergmbh
/
smollm3-3b-german-embed

Sentence Similarity
sentence-transformers
Safetensors
German
llama
text-embeddings
german
retrieval
lora
embedding-model
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use mayflowergmbh/smollm3-3b-german-embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use mayflowergmbh/smollm3-3b-german-embed with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("mayflowergmbh/smollm3-3b-german-embed")
    
    sentences = [
        "Was ist die Hauptstadt von Deutschland?",
        "Berlin ist die Hauptstadt von Deutschland.",
        "München ist eine Stadt in Bayern.",
        "Paris ist die Hauptstadt von Frankreich."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
smollm3-3b-german-embed
1.52 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
johannhartmann's picture
johannhartmann
initial commit
c38c7a8 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago