Instructions to use yehoony/kobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yehoony/kobert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yehoony/kobert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yehoony/kobert") model = AutoModelForSequenceClassification.from_pretrained("yehoony/kobert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1667e3e4f4bc38744ab018ada97157352615c4105d7726b09a380b18c0432e4f
- Size of remote file:
- 5.2 kB
- SHA256:
- 960e2ef68bbb3168c78dbbc2c86e2038c54069275b92ed933254caf6e2f696a8
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