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aymie-oh
/
roberta-emotion-classification

Text Classification
Transformers
Safetensors
English
roberta
emotion
classification
multi-label
sentiment-analysis
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use aymie-oh/roberta-emotion-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aymie-oh/roberta-emotion-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="aymie-oh/roberta-emotion-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("aymie-oh/roberta-emotion-classification")
    model = AutoModelForSequenceClassification.from_pretrained("aymie-oh/roberta-emotion-classification")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-emotion-classification
503 MB
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  • 1 contributor
History: 14 commits
aymie-oh's picture
aymie-oh
Update README.md
80d9494 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    3.7 kB
    Update README.md about 1 year ago
  • config.json
    1.73 kB
    Upload RobertaForSequenceClassification about 1 year ago
  • merges.txt
    456 kB
    Upload tokenizer about 1 year ago
  • model.safetensors
    499 MB
    xet
    Upload RobertaForSequenceClassification about 1 year ago
  • special_tokens_map.json
    1.01 kB
    Upload tokenizer about 1 year ago
  • tokenizer.json
    3.56 MB
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.5 kB
    Upload tokenizer about 1 year ago
  • vocab.json
    798 kB
    Upload tokenizer about 1 year ago