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Lolalb
/
AMPLIFY_benchmark

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

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

  • Libraries
  • Transformers

    How to use Lolalb/AMPLIFY_benchmark with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Lolalb/AMPLIFY_benchmark", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Lolalb/AMPLIFY_benchmark", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
AMPLIFY_benchmark
1.42 GB
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  • 1 contributor
History: 3 commits
Lolalb's picture
Lolalb
Upload AMPLIFY
4ba3699 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    5.17 kB
    Upload tokenizer 4 months ago
  • amplify.py
    18 kB
    Upload AMPLIFY 4 months ago
  • config.json
    937 Bytes
    Upload AMPLIFY 4 months ago
  • model.safetensors
    1.42 GB
    xet
    Upload AMPLIFY 4 months ago
  • rotary.py
    1.09 kB
    Upload AMPLIFY 4 months ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer 4 months ago
  • tokenizer.json
    1.83 kB
    Upload tokenizer 4 months ago
  • tokenizer.py
    10.5 kB
    Upload tokenizer 4 months ago
  • tokenizer_config.json
    1.59 kB
    Upload tokenizer 4 months ago