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baseten
/
DummyGemmaTextModelForEmbedding

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

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

  • Libraries
  • Transformers

    How to use baseten/DummyGemmaTextModelForEmbedding with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="baseten/DummyGemmaTextModelForEmbedding")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("baseten/DummyGemmaTextModelForEmbedding")
    model = AutoModel.from_pretrained("baseten/DummyGemmaTextModelForEmbedding")
  • Notebooks
  • Google Colab
  • Kaggle
DummyGemmaTextModelForEmbedding / 1_Pooling
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  • 1 contributor
History: 1 commit
michaelfeil's picture
michaelfeil
Create 1_Pooling/config.json
ad48155 verified 8 months ago
  • config.json
    289 Bytes
    Create 1_Pooling/config.json 8 months ago