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
- Xet hash:
- 05c3d93cc06b5be5bef1ee769e6a42d88cccc87b688ebbae84d1e72259f60c11
- Size of remote file:
- 598 MB
- SHA256:
- d522aff3e1131199994106459faa514e5294d13fc5fdcb248a530cd24a7ac281
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