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mp6kv
/
paper_feedback_intent

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

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

  • Libraries
  • Transformers

    How to use mp6kv/paper_feedback_intent with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mp6kv/paper_feedback_intent")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mp6kv/paper_feedback_intent")
    model = AutoModelForSequenceClassification.from_pretrained("mp6kv/paper_feedback_intent")
  • Notebooks
  • Google Colab
  • Kaggle
paper_feedback_intent / runs
162 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
mp6kv's picture
mp6kv
End of training
3368fdb about 4 years ago
  • Apr02_18-09-42_b5363a62ba8d
    End of training about 4 years ago
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    End of training about 4 years ago