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") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Oct08_09-06-17_f21562fc2d8e
- Oct08_15-05-34_06a14169c5e2
- Oct09_02-27-48_3d192a537d87
- Oct09_02-28-43_3d192a537d87
- Sep04_12-50-57_0ecfd9ff1619
- Sep04_14-20-47_0ecfd9ff1619
- Sep04_14-43-41_0ecfd9ff1619
- Sep04_15-35-22_0ecfd9ff1619
- Sep04_15-52-10_0ecfd9ff1619
- Sep04_16-42-01_0ecfd9ff1619
- Sep04_18-59-33_0ecfd9ff1619
- Sep05_07-16-30_4ee73e874015
- Sep23_16-29-48_a16eb3d641a3