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p1atdev
/
saikyou-shield-30m

Text Classification
Transformers
Safetensors
Japanese
modernbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use p1atdev/saikyou-shield-30m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use p1atdev/saikyou-shield-30m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="p1atdev/saikyou-shield-30m")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("p1atdev/saikyou-shield-30m")
    model = AutoModelForSequenceClassification.from_pretrained("p1atdev/saikyou-shield-30m")
  • Notebooks
  • Google Colab
  • Kaggle
saikyou-shield-30m
82.1 MB
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  • 1 contributor
History: 8 commits
p1atdev's picture
p1atdev
Update README.md
e9b31f1 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    3.4 kB
    Update README.md about 1 year ago
  • config.json
    1.4 kB
    Upload ModernBertForSequenceClassification about 1 year ago
  • model.safetensors
    73.6 MB
    xet
    Upload ModernBertForSequenceClassification about 1 year ago
  • special_tokens_map.json
    968 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    6.72 MB
    Upload tokenizer about 1 year ago
  • tokenizer.model
    1.83 MB
    xet
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    3.81 kB
    Upload tokenizer about 1 year ago