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yigagilbert
/
salt_language_Classification

Text Classification
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use yigagilbert/salt_language_Classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="yigagilbert/salt_language_Classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("yigagilbert/salt_language_Classification")
    model = AutoModelForSequenceClassification.from_pretrained("yigagilbert/salt_language_Classification")
  • Notebooks
  • Google Colab
  • Kaggle
salt_language_Classification
65.9 MB
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  • 1 contributor
History: 5 commits
yigagilbert's picture
yigagilbert
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  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
    62.6 MB
    xet
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  • special_tokens_map.json
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  • spiece.model
    792 kB
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  • tokenizer.json
    2.42 MB
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  • tokenizer_config.json
    20.8 kB
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  • training_args.bin
    5.18 kB
    xet
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