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SyntaxTheRed
/
roberta-base-bne-finetuned-multi-sentiment

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

Instructions to use SyntaxTheRed/roberta-base-bne-finetuned-multi-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SyntaxTheRed/roberta-base-bne-finetuned-multi-sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SyntaxTheRed/roberta-base-bne-finetuned-multi-sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SyntaxTheRed/roberta-base-bne-finetuned-multi-sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("SyntaxTheRed/roberta-base-bne-finetuned-multi-sentiment")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-bne-finetuned-multi-sentiment / runs
7.61 kB
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  • 1 contributor
History: 2 commits
SyntaxTheRed's picture
SyntaxTheRed
Training in progress, epoch 2
d133758 verified about 2 years ago
  • May20_04-25-49_b092825d20dd
    Training in progress, epoch 2 about 2 years ago