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TCMVince
/
NRJ-DEBUG

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

Instructions to use TCMVince/NRJ-DEBUG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TCMVince/NRJ-DEBUG with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="TCMVince/NRJ-DEBUG", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("TCMVince/NRJ-DEBUG", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
NRJ-DEBUG
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  • 1 contributor
History: 2 commits
TCMVince's picture
TCMVince
commit files to HF hub
2b5b2f3 over 1 year ago
  • tokenizer
    commit files to HF hub over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
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  • config.json
    625 Bytes
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  • config.yaml
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  • configuration_energy.py
    2.22 kB
    commit files to HF hub over 1 year ago
  • mlm.py
    16.1 kB
    commit files to HF hub over 1 year ago
  • model.safetensors
    203 MB
    xet
    commit files to HF hub over 1 year ago
  • special_tokens_map.json
    695 Bytes
    commit files to HF hub over 1 year ago
  • tokenizer.json
    833 kB
    commit files to HF hub over 1 year ago
  • tokenizer_config.json
    1.19 kB
    commit files to HF hub over 1 year ago