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unsloth
/
embeddinggemma-2

Feature Extraction
Transformers
Safetensors
sentence-transformers
multilingual
embedding_gemma2
embedding
multimodal-embedding
multimodal
vision
audio
video
image-feature-extraction
audio-feature-extraction
video-feature-extraction
sentence-similarity
unsloth
Model card Files Files and versions
xet
Community

Instructions to use unsloth/embeddinggemma-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use unsloth/embeddinggemma-2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="unsloth/embeddinggemma-2")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("unsloth/embeddinggemma-2")
    model = AutoModel.from_pretrained("unsloth/embeddinggemma-2", device_map="auto")
  • sentence-transformers

    How to use unsloth/embeddinggemma-2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("unsloth/embeddinggemma-2")
    
    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
  • Local Apps Settings
  • Unsloth Desktop
embeddinggemma-2
1.53 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
danielhanchen's picture
danielhanchen
Update README.md
c8f89cc verified about 14 hours ago
  • 1_Pooling
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  • 2_Normalize
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  • .gitattributes
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  • README.md
    21.8 kB
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  • chat_template.jinja
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  • config.json
    4.46 kB
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  • config_sentence_transformers.json
    1.57 kB
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  • model.safetensors
    1.49 GB
    xet
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  • modules.json
    413 Bytes
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  • preprocessor_config.json
    511 Bytes
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  • processor_config.json
    1.79 kB
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  • sentence_bert_config.json
    747 Bytes
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  • tokenizer.json
    32.2 MB
    xet
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  • tokenizer.model
    4.69 MB
    xet
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  • tokenizer_config.json
    1.6 kB
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