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LuminAISecurity
/
ethereum

Feature Extraction
Transformers
Safetensors
gpt2
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use LuminAISecurity/ethereum with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="LuminAISecurity/ethereum")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("LuminAISecurity/ethereum")
    model = AutoModel.from_pretrained("LuminAISecurity/ethereum")
  • Notebooks
  • Google Colab
  • Kaggle
ethereum
447 MB
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  • 1 contributor
History: 3 commits
natanlumim's picture
natanlumim
Upload tokenizer
d2522ae verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    5.17 kB
    Upload model 3 months ago
  • added_tokens.json
    21 Bytes
    Upload tokenizer 3 months ago
  • config.json
    1 kB
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  • merges.txt
    277 kB
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  • model.safetensors
    444 MB
    xet
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  • special_tokens_map.json
    587 Bytes
    Upload tokenizer 3 months ago
  • tokenizer.json
    2.27 MB
    Upload tokenizer 3 months ago
  • tokenizer_config.json
    866 Bytes
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  • vocab.json
    497 kB
    Upload tokenizer 3 months ago