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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
1.11 GB
Ctrl+K
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  • 1 contributor
History: 7 commits
michaelfeil's picture
michaelfeil
Create sentence_bert_config.json
3993702 verified 8 months ago
  • 1_Pooling
    Create 1_Pooling/config.json 8 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 8 months ago
  • README.md
    5.17 kB
    Upload model 8 months ago
  • config.json
    1.44 kB
    Upload model 8 months ago
  • model.safetensors
    1.07 GB
    xet
    Upload model 8 months ago
  • modules.json
    349 Bytes
    Create modules.json 8 months ago
  • sentence_bert_config.json
    54 Bytes
    Create sentence_bert_config.json 8 months ago
  • special_tokens_map.json
    670 Bytes
    Upload tokenizer 8 months ago
  • tokenizer.json
    33.4 MB
    xet
    Upload tokenizer 8 months ago
  • tokenizer.model
    4.69 MB
    xet
    Upload tokenizer 8 months ago
  • tokenizer_config.json
    1.16 MB
    Upload tokenizer 8 months ago