Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

a98zhang
/
roberta-based_mclass

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use a98zhang/roberta-based_mclass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use a98zhang/roberta-based_mclass with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="a98zhang/roberta-based_mclass")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("a98zhang/roberta-based_mclass")
    model = AutoModelForSequenceClassification.from_pretrained("a98zhang/roberta-based_mclass")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-based_mclass / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
a98zhang's picture
a98zhang
End of training
a2b6c35 verified over 2 years ago
  • Jan10_21-42-36_39bca1996ab9
    a98zhang/roberta-based_mclass over 2 years ago
  • Jan10_21-55-48_39bca1996ab9
    End of training over 2 years ago