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Rasooli
/
Roberta-Sentiment-Fa

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 Rasooli/Roberta-Sentiment-Fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Rasooli/Roberta-Sentiment-Fa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Rasooli/Roberta-Sentiment-Fa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Rasooli/Roberta-Sentiment-Fa")
    model = AutoModelForSequenceClassification.from_pretrained("Rasooli/Roberta-Sentiment-Fa")
  • Notebooks
  • Google Colab
  • Kaggle
Roberta-Sentiment-Fa / runs
10.3 kB
Ctrl+K
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  • 1 contributor
History: 11 commits
Rasooli's picture
Rasooli
Sentiment Fa
f40e310 verified over 1 year ago
  • Oct11_06-34-08_b0be7e6222f4
    Sentiment Fa over 1 year ago