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flair-bio
/
amplify-c

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

Instructions to use flair-bio/amplify-c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use flair-bio/amplify-c with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="flair-bio/amplify-c", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("flair-bio/amplify-c", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
amplify-c
1.42 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Lolalb's picture
Lolalb
forward: accept and ignore special_tokens_mask so model(**tokenizer(seqs)) works
85d2fb5 verified 13 days ago
  • .gitattributes
    1.52 kB
    Initial release 15 days ago
  • README.md
    5.17 kB
    Initial release 15 days ago
  • amplify.py
    12.8 kB
    forward: accept and ignore special_tokens_mask so model(**tokenizer(seqs)) works 13 days ago
  • config.json
    931 Bytes
    Initial release 15 days ago
  • model.safetensors
    1.42 GB
    xet
    Initial release 15 days ago
  • rotary.py
    1.09 kB
    Initial release 15 days ago
  • tokenizer.json
    2.21 kB
    Initial release 15 days ago
  • tokenizer.py
    10.5 kB
    Initial release 15 days ago
  • tokenizer_config.json
    680 Bytes
    Initial release 15 days ago