Instructions to use bertugmirasyedi/deberta-v3-base-level-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertugmirasyedi/deberta-v3-base-level-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bertugmirasyedi/deberta-v3-base-level-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bertugmirasyedi/deberta-v3-base-level-classification") model = AutoModelForSequenceClassification.from_pretrained("bertugmirasyedi/deberta-v3-base-level-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb8f25c21a313dd93a8aeb21effdb17fcf2046944359ad51d6ee503359618147
- Size of remote file:
- 3.52 kB
- SHA256:
- 759a75f08e74598e1d89c006345236f5eb9da04ee003454a83e2eb36b73f0588
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