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GinnM
/
ThermoFormer

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

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

  • Libraries
  • Transformers

    How to use GinnM/ThermoFormer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="GinnM/ThermoFormer", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("GinnM/ThermoFormer", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ThermoFormer
2.67 GB
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  • 1 contributor
History: 3 commits
GinnM's picture
GinnM
Upload ThermoFormer
115228c verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload tokenizer over 1 year ago
  • config.json
    869 Bytes
    Upload ThermoFormer over 1 year ago
  • configuration_thermoformer.py
    1.87 kB
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  • model.safetensors
    2.67 GB
    xet
    Upload ThermoFormer over 1 year ago
  • modeling_thermoformer.py
    45.2 kB
    Upload ThermoFormer over 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 1 year ago
  • tokenization_thermoformer.py
    4.93 kB
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  • tokenizer_config.json
    1.25 kB
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  • vocab.txt
    93 Bytes
    Upload tokenizer over 1 year ago