Instructions to use Mukesh97/severity_model_checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mukesh97/severity_model_checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mukesh97/severity_model_checkpoints")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mukesh97/severity_model_checkpoints") model = AutoModelForSequenceClassification.from_pretrained("Mukesh97/severity_model_checkpoints") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 059b68a2a5bf29d42ab7e5875c8597040c842a5139eb97365239696e8ddf5db0
- Size of remote file:
- 268 MB
- SHA256:
- ebfd21bf750ea2c0f83702c72af24824b7683ba42b4dfc33aff7cf8713a4b5bd
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