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Ahmed235
/
roberta-base-topic_classification_simple2

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 Ahmed235/roberta-base-topic_classification_simple2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ahmed235/roberta-base-topic_classification_simple2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Ahmed235/roberta-base-topic_classification_simple2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Ahmed235/roberta-base-topic_classification_simple2")
    model = AutoModelForSequenceClassification.from_pretrained("Ahmed235/roberta-base-topic_classification_simple2")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-topic_classification_simple2 / runs
12.4 kB
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  • 1 contributor
History: 21 commits
Ahmed235's picture
Ahmed235
End of training
d74c1e1 verified over 2 years ago
  • Jan27_19-44-39_f88a4aa5a720
    End of training over 2 years ago