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
deberta_textclassification / runs /Sep04_12-50-57_0ecfd9ff1619 /events.out.tfevents.1725454293.0ecfd9ff1619.2927.0
- Xet hash:
- 8230041b9ced6187d41aaf3df1af920214826d825c26efbed9bf5e7ccaa269ed
- Size of remote file:
- 7.39 kB
- SHA256:
- 778c19693daf248454e82fd95679fc2a4b5dce898d34bc3ac2eff228686942b9
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