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enansari
/
emotion_roberta_weighted

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use enansari/emotion_roberta_weighted with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="enansari/emotion_roberta_weighted")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("enansari/emotion_roberta_weighted")
    model = AutoModelForSequenceClassification.from_pretrained("enansari/emotion_roberta_weighted")
  • Notebooks
  • Google Colab
  • Kaggle
emotion_roberta_weighted
500 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
enansari's picture
enansari
SA_RoBERTa_based
c6701f1 verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    1.99 kB
    SA_RoBERTa_based 5 months ago
  • config.json
    962 Bytes
    SA_RoBERTa_based 5 months ago
  • merges.txt
    456 kB
    SA_RoBERTa_based 5 months ago
  • model.safetensors
    499 MB
    xet
    SA_RoBERTa_based 5 months ago
  • special_tokens_map.json
    958 Bytes
    SA_RoBERTa_based 5 months ago
  • tokenizer_config.json
    1.22 kB
    SA_RoBERTa_based 5 months ago
  • training_args.bin
    5.84 kB
    xet
    SA_RoBERTa_based 5 months ago
  • vocab.json
    999 kB
    SA_RoBERTa_based 5 months ago