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
- Xet hash:
- 06c1d8f2a2295f3e06d8339c5c46cdbd0f9ef0bc242da2bf96c2e9909f039c49
- Size of remote file:
- 557 MB
- SHA256:
- f37a86b2a85d9678d0f01016a904024b67f0071cd2efe8bfdcff67a797b32358
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