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lengocquangLAB
/
Aroma-classifier

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

Instructions to use lengocquangLAB/Aroma-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lengocquangLAB/Aroma-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="lengocquangLAB/Aroma-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("lengocquangLAB/Aroma-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("lengocquangLAB/Aroma-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
Aroma-classifier / runs
81.3 kB
Ctrl+K
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  • 1 contributor
History: 24 commits
lengocquangLAB's picture
lengocquangLAB
End of training
2dc8cc7 verified about 2 years ago
  • Apr05_07-14-09_a43f7b08af0c
    End of training about 2 years ago
  • Apr05_12-19-55_c2bf071554f1
    End of training about 2 years ago
  • Apr22_23-30-56_db81374dac3c
    End of training about 2 years ago
  • Apr22_23-58-00_db81374dac3c
    End of training about 2 years ago
  • Apr23_00-22-47_db81374dac3c
    End of training about 2 years ago
  • Apr23_03-08-49_0253cfdc2ec5
    End of training about 2 years ago
  • Apr23_08-26-55_c0f983bc328e
    End of training about 2 years ago