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SkyNet-DL
/
sentiment-roberta

Text Classification
Transformers
Safetensors
PyTorch
English
roberta
sentiment-analysis
fastapi
multilingual
docker
kafka
nlp
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use SkyNet-DL/sentiment-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SkyNet-DL/sentiment-roberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SkyNet-DL/sentiment-roberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SkyNet-DL/sentiment-roberta")
    model = AutoModelForSequenceClassification.from_pretrained("SkyNet-DL/sentiment-roberta")
  • Notebooks
  • Google Colab
  • Kaggle
sentiment-roberta / images
58 kB
Ctrl+K
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  • 1 contributor
History: 3 commits
CesarWKR1's picture
CesarWKR1
Upload confusion_matrix
578dab3 verified 15 days ago
  • confusion_matrix.jpg
    33.3 kB
    Upload confusion_matrix 15 days ago
  • confusion_matrix_normalized.png
    24.8 kB
    Upload confusion_matrix_normalized 15 days ago