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dean22029
/
PeoplesDailyClassifier

Text Classification
Transformers
Safetensors
Chinese
bert
politics
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use dean22029/PeoplesDailyClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dean22029/PeoplesDailyClassifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="dean22029/PeoplesDailyClassifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dean22029/PeoplesDailyClassifier")
    model = AutoModelForSequenceClassification.from_pretrained("dean22029/PeoplesDailyClassifier")
  • Notebooks
  • Google Colab
  • Kaggle
PeoplesDailyClassifier
1.3 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
dean22029's picture
dean22029
Upload model
0a9e3cb verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    106 Bytes
    Update README.md almost 2 years ago
  • all_results.json
    37 Bytes
    Upload model almost 2 years ago
  • config.json
    1.38 kB
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  • model.safetensors
    1.3 GB
    xet
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  • special_tokens_map.json
    695 Bytes
    Upload model config almost 2 years ago
  • tokenizer.json
    439 kB
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  • tokenizer_config.json
    1.33 kB
    Upload model almost 2 years ago
  • vocab.txt
    110 kB
    Upload model config almost 2 years ago