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maxschlake
/
roberta-base_disaster_tweets_explosion

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 maxschlake/roberta-base_disaster_tweets_explosion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use maxschlake/roberta-base_disaster_tweets_explosion with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="maxschlake/roberta-base_disaster_tweets_explosion")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("maxschlake/roberta-base_disaster_tweets_explosion")
    model = AutoModelForSequenceClassification.from_pretrained("maxschlake/roberta-base_disaster_tweets_explosion", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base_disaster_tweets_explosion / logs
301 kB
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  • 2 contributors
History: 5 commits
maxschlake's picture
maxschlake
End of training
ceb3014 over 2 years ago
  • events.out.tfevents.1701944761.95ed4e3a0072.2498601.2
    301 kB
    xet
    End of training over 2 years ago
  • events.out.tfevents.1701976153.95ed4e3a0072.2498601.3
    316 Bytes
    xet
    End of training over 2 years ago