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:
- e2be40babeac2587dca3695c53c965a028087ccd8a457695ff5ed00621fc220a
- Size of remote file:
- 738 MB
- SHA256:
- c3c57308673c269ff7de54aac0422de17fa0a9f9eff804ceef8ab277a5cdf205
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