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junaid1993
/
bot_detection_model

Text Classification
Transformers
TensorBoard
Safetensors
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use junaid1993/bot_detection_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use junaid1993/bot_detection_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="junaid1993/bot_detection_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("junaid1993/bot_detection_model")
    model = AutoModelForSequenceClassification.from_pretrained("junaid1993/bot_detection_model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bot_detection_model / checkpoint-1000
986 MB
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  • 1 contributor
History: 1 commit
junaid1993's picture
junaid1993
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  • config.json
    751 Bytes
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  • model.safetensors
    328 MB
    xet
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  • optimizer.pt
    657 MB
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  • rng_state.pth
    14 kB
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  • scheduler.pt
    1.06 kB
    xet
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  • trainer_state.json
    801 Bytes
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  • training_args.bin
    4.86 kB
    xet
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