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heavyhelium
/
roberta-large-touche-base-binary

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use heavyhelium/roberta-large-touche-base-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use heavyhelium/roberta-large-touche-base-binary with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="heavyhelium/roberta-large-touche-base-binary")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("heavyhelium/roberta-large-touche-base-binary")
    model = AutoModelForSequenceClassification.from_pretrained("heavyhelium/roberta-large-touche-base-binary")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-large-touche-base-binary
9.96 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
heavyhelium's picture
heavyhelium
Model save
e2f657c verified 11 days ago
  • checkpoint-279
    Training in progress, epoch 3, checkpoint 11 days ago
  • checkpoint-93
    Training in progress, epoch 1, checkpoint 11 days ago
  • .gitattributes
    1.52 kB
    initial commit 11 days ago
  • README.md
    1.93 kB
    Model save 11 days ago
  • config.json
    852 Bytes
    Training in progress, epoch 1 11 days ago
  • model.safetensors
    1.42 GB
    xet
    Model save 11 days ago
  • tokenizer.json
    3.56 MB
    Model save 11 days ago
  • tokenizer_config.json
    388 Bytes
    Model save 11 days ago
  • training_args.bin
    5.39 kB
    xet
    Training in progress, epoch 1 11 days ago