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CodeHima
/
Tos-Roberta

Text Classification
Transformers
Safetensors
English
roberta
Model card Files Files and versions
xet
Community

Instructions to use CodeHima/Tos-Roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CodeHima/Tos-Roberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="CodeHima/Tos-Roberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("CodeHima/Tos-Roberta")
    model = AutoModelForSequenceClassification.from_pretrained("CodeHima/Tos-Roberta")
  • Notebooks
  • Google Colab
  • Kaggle
Tos-Roberta
1.42 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
CodeHima's picture
CodeHima
Upload RobertaTOS.ipynb
7eec195 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    4.83 kB
    Update README.md almost 2 years ago
  • RobertaTOS.ipynb
    305 kB
    Upload RobertaTOS.ipynb almost 2 years ago
  • config.json
    902 Bytes
    Initial commit almost 2 years ago
  • merges.txt
    456 kB
    Initial commit almost 2 years ago
  • model.safetensors
    1.42 GB
    xet
    Initial commit almost 2 years ago
  • special_tokens_map.json
    958 Bytes
    Initial commit almost 2 years ago
  • tokenizer_config.json
    1.19 kB
    Initial commit almost 2 years ago
  • vocab.json
    999 kB
    Initial commit almost 2 years ago