Instructions to use duynhatran/deberta_textclassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use duynhatran/deberta_textclassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="duynhatran/deberta_textclassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("duynhatran/deberta_textclassification") model = AutoModelForSequenceClassification.from_pretrained("duynhatran/deberta_textclassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6dff9c9d82f41ec1207bc2732abd3e0ae96224c5ff600f9d9272b29b4b843f73
- Size of remote file:
- 5.18 kB
- SHA256:
- 015fbf98078ee6e32110924e733cfbc0a96245f987b5f8b7ffaf3dddb4e623b6
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