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wsqstar
/
bert-finetuned-weibo-luobokuaipao

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

Instructions to use wsqstar/bert-finetuned-weibo-luobokuaipao with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use wsqstar/bert-finetuned-weibo-luobokuaipao with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="wsqstar/bert-finetuned-weibo-luobokuaipao")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("wsqstar/bert-finetuned-weibo-luobokuaipao")
    model = AutoModelForSequenceClassification.from_pretrained("wsqstar/bert-finetuned-weibo-luobokuaipao")
  • Notebooks
  • Google Colab
  • Kaggle
bert-finetuned-weibo-luobokuaipao
409 MB
Ctrl+K
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  • 2 contributors
History: 11 commits
wsqstar's picture
wsqstar
Training in progress, epoch 1
aeece45 verified almost 2 years ago
  • runs
    Training in progress, epoch 1 almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.49 kB
    End of training almost 2 years ago
  • config.json
    1.04 kB
    Training in progress, epoch 1 almost 2 years ago
  • model.safetensors
    409 MB
    xet
    Training in progress, epoch 1 almost 2 years ago
  • training_args.bin
    5.18 kB
    xet
    Training in progress, epoch 1 almost 2 years ago