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_15-52-10_0ecfd9ff1619 /events.out.tfevents.1725465157.0ecfd9ff1619.2927.4
- Xet hash:
- 9fef1ef9cedcf58c2f677f91920dc376711e232c84ff67d29feb2f51502072be
- Size of remote file:
- 7.16 kB
- SHA256:
- 8abe872093c03199257fbacf3abf0a6cee3783aefab39f97f21d4c2926054820
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