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

mp6kv
/
feedback_intent_test

Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use mp6kv/feedback_intent_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mp6kv/feedback_intent_test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mp6kv/feedback_intent_test")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mp6kv/feedback_intent_test")
    model = AutoModelForSequenceClassification.from_pretrained("mp6kv/feedback_intent_test")
  • Notebooks
  • Google Colab
  • Kaggle
feedback_intent_test / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
mp6kv's picture
mp6kv
End of training
7136e8e about 4 years ago
  • Mar05_19-53-10_8ca3d3417759
    End of training about 4 years ago