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_15-35-22_0ecfd9ff1619 /events.out.tfevents.1725464160.0ecfd9ff1619.2927.3
- Xet hash:
- a5c078b81aeec80bfa313a7e25d27679751cbaa2d5c81e73f8e86adcc45386fc
- Size of remote file:
- 7.16 kB
- SHA256:
- 1e3a95e8b824f9186337d3879c8fb731b15b07c3f6929f6e820f97b221d26785
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