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:
- becbcfe9ffc53383a2e219a26881b8f15403487820918f5a9b3ded46beecb7de
- Size of remote file:
- 738 MB
- SHA256:
- e07b7308f6f36be00733bed8b37148023cf0947ae2619c59031dcb48dd880f01
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