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aarabil
/
embeddinggemma-300m

Feature Extraction
Transformers
Safetensors
gemma3_text
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use aarabil/embeddinggemma-300m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aarabil/embeddinggemma-300m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="aarabil/embeddinggemma-300m")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("aarabil/embeddinggemma-300m")
    model = AutoModel.from_pretrained("aarabil/embeddinggemma-300m")
  • Notebooks
  • Google Colab
  • Kaggle
embeddinggemma-300m
1.25 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
aarabil's picture
aarabil
Upload tokenizer
aa35a4a verified 8 months ago
  • .gitattributes
    1.57 kB
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  • README.md
    5.17 kB
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  • added_tokens.json
    35 Bytes
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  • config.json
    1.48 kB
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  • model.safetensors
    1.21 GB
    xet
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  • special_tokens_map.json
    662 Bytes
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  • tokenizer.json
    33.4 MB
    xet
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  • tokenizer.model
    4.69 MB
    xet
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  • tokenizer_config.json
    1.16 MB
    Upload tokenizer 8 months ago