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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
500 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
CesarWKR1's picture
CesarWKR1
Update README
2e4d08f verified 3 days ago
  • images
    Upload confusion_matrix 4 days ago
  • .gitattributes
    1.52 kB
    initial commit 30 days ago
  • README.md
    40.9 kB
    Update README 3 days ago
  • config.json
    841 Bytes
    Upload 6 files 30 days ago
  • merges.txt
    506 kB
    Upload 6 files 30 days ago
  • model.safetensors
    499 MB
    xet
    Upload 6 files 30 days ago
  • special_tokens_map.json
    1.01 kB
    Upload 6 files 30 days ago
  • tokenizer_config.json
    1.28 kB
    Upload 6 files 30 days ago
  • vocab.json
    1.05 MB
    Upload 6 files 30 days ago