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Ibrahim-Alam
/
finetuning-roberta-base-on-tweet_sentiment_binary

Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Ibrahim-Alam/finetuning-roberta-base-on-tweet_sentiment_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ibrahim-Alam/finetuning-roberta-base-on-tweet_sentiment_binary with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Ibrahim-Alam/finetuning-roberta-base-on-tweet_sentiment_binary")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Ibrahim-Alam/finetuning-roberta-base-on-tweet_sentiment_binary")
    model = AutoModelForSequenceClassification.from_pretrained("Ibrahim-Alam/finetuning-roberta-base-on-tweet_sentiment_binary", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
finetuning-roberta-base-on-tweet_sentiment_binary / runs
11.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Md Ibrahim Ibne Alam
End of training
9c756c7 about 3 years ago
  • Jun29_03-48-05_32daf33073c0
    End of training about 3 years ago