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rti-international
/
rota

Text Classification
Transformers
PyTorch
JAX
English
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use rti-international/rota with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rti-international/rota with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rti-international/rota")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rti-international/rota")
    model = AutoModelForSequenceClassification.from_pretrained("rti-international/rota", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
rota
661 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 11 commits
akgodwin's picture
akgodwin
Update spaces link
73d1188 over 3 years ago
  • .github
    initial commit (old model) about 5 years ago
  • utils
    initial commit (old model) about 5 years ago
  • .gitattributes
    736 Bytes
    allow flax about 5 years ago
  • .gitignore
    2.06 kB
    initial commit (old model) about 5 years ago
  • LICENSE
    11.3 kB
    initial commit (old model) about 5 years ago
  • README.md
    13.2 kB
    Update spaces link over 3 years ago
  • code_map.json
    3.08 kB
    initial commit (old model) about 5 years ago
  • config.backup.json
    4.2 kB
    initial commit (old model) about 5 years ago
  • config.json
    7.78 kB
    initial commit (old model) about 5 years ago
  • flax_model.msgpack
    329 MB
    xet
    upload flax model about 5 years ago
  • merges.txt
    456 kB
    initial commit (old model) about 5 years ago
  • model_args.json
    2.9 kB
    initial commit (old model) about 5 years ago
  • onnx-convert-requirements.txt
    75 Bytes
    initial commit (old model) about 5 years ago
  • pytorch_model.bin
    331 MB
    xet
    final model update about 5 years ago
  • special_tokens_map.json
    239 Bytes
    initial commit (old model) about 5 years ago
  • tokenizer_config.json
    1.12 kB
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  • training_args.bin
    3.31 kB
    xet
    initial commit (old model) about 5 years ago
  • vocab.json
    798 kB
    initial commit (old model) about 5 years ago