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Johnson8187
/
Vision_or_not

Text Classification
Transformers
Safetensors
Chinese
English
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Johnson8187/Vision_or_not with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Johnson8187/Vision_or_not with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Johnson8187/Vision_or_not")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Johnson8187/Vision_or_not")
    model = AutoModelForSequenceClassification.from_pretrained("Johnson8187/Vision_or_not")
  • Notebooks
  • Google Colab
  • Kaggle
Vision_or_not
2.26 GB
Ctrl+K
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  • 1 contributor
History: 8 commits
Johnson8187's picture
Johnson8187
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c9afc00 verified over 1 year ago
  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
    2.24 GB
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  • sentencepiece.bpe.model
    5.07 MB
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  • special_tokens_map.json
    295 Bytes
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
    1.23 kB
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  • training_args.bin
    5.18 kB
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