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randomone14
/
podcast-sentiment-3c

Text Classification
Transformers
Safetensors
English
roberta
sentiment-analysis
youtube-comments
podcast
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use randomone14/podcast-sentiment-3c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use randomone14/podcast-sentiment-3c with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="randomone14/podcast-sentiment-3c")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("randomone14/podcast-sentiment-3c")
    model = AutoModelForSequenceClassification.from_pretrained("randomone14/podcast-sentiment-3c")
  • Notebooks
  • Google Colab
  • Kaggle
podcast-sentiment-3c
502 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
randomone14's picture
randomone14
Upload fine-tuned 3-class podcast sentiment model
b84d821 verified 17 days ago
  • .gitattributes
    1.52 kB
    initial commit 17 days ago
  • README.md
    737 Bytes
    Upload fine-tuned 3-class podcast sentiment model 17 days ago
  • config.json
    924 Bytes
    Upload fine-tuned 3-class podcast sentiment model 17 days ago
  • model.safetensors
    499 MB
    xet
    Upload fine-tuned 3-class podcast sentiment model 17 days ago
  • tokenizer.json
    3.56 MB
    Upload fine-tuned 3-class podcast sentiment model 17 days ago
  • tokenizer_config.json
    387 Bytes
    Upload fine-tuned 3-class podcast sentiment model 17 days ago