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aisquared
/
bolt-cls-content

Text Classification
Transformers
Safetensors
English
modernbert
content-safety
sequence-classification
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use aisquared/bolt-cls-content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aisquared/bolt-cls-content with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="aisquared/bolt-cls-content")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("aisquared/bolt-cls-content")
    model = AutoModelForSequenceClassification.from_pretrained("aisquared/bolt-cls-content", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    7.81 kB
    Update README.md 28 days ago
  • config.json
    2.12 kB
    Initial import from source checkpoint (Phase 1 migration) about 2 months ago
  • model.safetensors
    598 MB
    xet
    Initial import from source checkpoint (Phase 1 migration) about 2 months ago
  • threshold.json
    243 Bytes
    Initial import from source checkpoint (Phase 1 migration) about 2 months ago
  • tokenizer.json
    3.58 MB
    Initial import from source checkpoint (Phase 1 migration) about 2 months ago
  • tokenizer_config.json
    572 Bytes
    Initial import from source checkpoint (Phase 1 migration) about 2 months ago