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LocalLaws
/
LOCUS-Substantive

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

Instructions to use LocalLaws/LOCUS-Substantive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LocalLaws/LOCUS-Substantive with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="LocalLaws/LOCUS-Substantive")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("LocalLaws/LOCUS-Substantive")
    model = AutoModelForSequenceClassification.from_pretrained("LocalLaws/LOCUS-Substantive")
  • Notebooks
  • Google Colab
  • Kaggle
LOCUS-Substantive
602 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
jbarrow's picture
jbarrow
Upload LOCUS-Substantive weights, tokenizer, and model card
5ab976c verified about 16 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 16 hours ago
  • README.md
    1.81 kB
    Upload LOCUS-Substantive weights, tokenizer, and model card about 16 hours ago
  • config.json
    2.06 kB
    Upload LOCUS-Substantive weights, tokenizer, and model card about 16 hours ago
  • model.safetensors
    598 MB
    xet
    Upload LOCUS-Substantive weights, tokenizer, and model card about 16 hours ago
  • tokenizer.json
    3.58 MB
    Upload LOCUS-Substantive weights, tokenizer, and model card about 16 hours ago
  • tokenizer_config.json
    380 Bytes
    Upload LOCUS-Substantive weights, tokenizer, and model card about 16 hours ago