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chandar-lab
/
SaAMPLIFY_120M

Feature Extraction
Transformers
Safetensors
AMPLIFY
custom_code
Model card Files Files and versions
xet
Community

Instructions to use chandar-lab/SaAMPLIFY_120M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use chandar-lab/SaAMPLIFY_120M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="chandar-lab/SaAMPLIFY_120M", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("chandar-lab/SaAMPLIFY_120M", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SaAMPLIFY_120M
473 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
davidhd's picture
davidhd
Change SaAMPLIFY API to be compatible with AMPLIFY v1
4b3eae6 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    5.17 kB
    Upload AMPLIFY 8 months ago
  • amplify.py
    12.3 kB
    Change SaAMPLIFY API to be compatible with AMPLIFY v1 7 months ago
  • config.json
    954 Bytes
    Upload AMPLIFY 7 months ago
  • model.safetensors
    473 MB
    xet
    Upload AMPLIFY 8 months ago
  • rmsnorm.py
    1.18 kB
    Upload AMPLIFY 7 months ago
  • rotary.py
    3.34 kB
    Upload AMPLIFY 7 months ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer 8 months ago
  • tokenizer.json
    2.62 kB
    Upload tokenizer 8 months ago
  • tokenizer.py
    4.95 kB
    Upload AMPLIFY 7 months ago
  • tokenizer_config.json
    1.23 kB
    Upload tokenizer 8 months ago