Instructions to use Mukesh97/severity-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mukesh97/severity-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mukesh97/severity-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mukesh97/severity-classification") model = AutoModelForSequenceClassification.from_pretrained("Mukesh97/severity-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd64ce40ce02e20f20d5f984cbecddfd0062f300a1e936de225e118061a64ec9
- Size of remote file:
- 268 MB
- SHA256:
- 118e3890e6e912071918b4df803e2f5359bef6c88f2de15395f616d0c2f03b5d
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