Instructions to use Harsh-2706/legalise-ai-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harsh-2706/legalise-ai-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Harsh-2706/legalise-ai-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Harsh-2706/legalise-ai-classifier") model = AutoModelForSequenceClassification.from_pretrained("Harsh-2706/legalise-ai-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c27a28027757d830c59f20fb7f90b53537a246b24cd38348a66275b4027343c8
- Size of remote file:
- 268 MB
- SHA256:
- 37aa7105705dbf41821a748585afbc82bf340c8ca943e1108f20fb494629b14d
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