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:
- 04cbe03cbe07346e7b29601b6bb2a7983a186fe590c1519d93c251bbb508f296
- Size of remote file:
- 5.2 kB
- SHA256:
- f0736313cd476a77fc392366ec3cbf6dd3c4851ede57f190dd1501f3efa67a51
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