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natolambert
/
gpt2-dummy-rm

Text Classification
Transformers
Safetensors
gpt2
Model card Files Files and versions
xet
Community

Instructions to use natolambert/gpt2-dummy-rm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use natolambert/gpt2-dummy-rm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="natolambert/gpt2-dummy-rm")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("natolambert/gpt2-dummy-rm")
    model = AutoModelForSequenceClassification.from_pretrained("natolambert/gpt2-dummy-rm")
  • Notebooks
  • Google Colab
  • Kaggle
gpt2-dummy-rm
501 MB
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  • 1 contributor
History: 4 commits
natolambert's picture
natolambert
Upload tokenizer
8b68d84 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    813 Bytes
    Create README.md over 2 years ago
  • config.json
    921 Bytes
    Upload GPT2ForSequenceClassification over 2 years ago
  • merges.txt
    456 kB
    Upload tokenizer over 2 years ago
  • model.safetensors
    498 MB
    xet
    Upload GPT2ForSequenceClassification over 2 years ago
  • special_tokens_map.json
    99 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    2.11 MB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    234 Bytes
    Upload tokenizer over 2 years ago
  • vocab.json
    798 kB
    Upload tokenizer over 2 years ago