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kinlas
/
googlebertbertbasemultilingualcased

Text Classification
Transformers
Safetensors
bert
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use kinlas/googlebertbertbasemultilingualcased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="kinlas/googlebertbertbasemultilingualcased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("kinlas/googlebertbertbasemultilingualcased")
    model = AutoModelForSequenceClassification.from_pretrained("kinlas/googlebertbertbasemultilingualcased", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • checkpoint-49272 google-bert_bert-base-multilingual-cased lr=5e-5
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  • .gitattributes
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  • config.json
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  • model.safetensors
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  • results-all.txt
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  • rng_state.pth
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  • scheduler.pt
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  • trainer_state.json
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  • training_args.bin
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