Instructions to use adhityaprimandhika/fine-tuned-deberta-category-by-notes-synthetic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adhityaprimandhika/fine-tuned-deberta-category-by-notes-synthetic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adhityaprimandhika/fine-tuned-deberta-category-by-notes-synthetic")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adhityaprimandhika/fine-tuned-deberta-category-by-notes-synthetic") model = AutoModelForSequenceClassification.from_pretrained("adhityaprimandhika/fine-tuned-deberta-category-by-notes-synthetic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31b02ecdc13e95f6581682e4ac5441bf94170123a2c35164244df9ec1d126247
- Size of remote file:
- 1.74 GB
- SHA256:
- 0f22948bb05f3e6027cccc1cc956aa4237f3a26215bb8300435e879b7c8f7d41
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