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:
- af003713ceaba3e4cce9b43f6d6fb45172c1124e00a42a848d2f19683d280b02
- Size of remote file:
- 5.3 kB
- SHA256:
- 945454bf6a01e7a199ad5303e14b32c4a85e7178a246857db0abf1a316a5027c
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