Instructions to use SetFit/deberta-v3-large__sst2__train-16-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SetFit/deberta-v3-large__sst2__train-16-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SetFit/deberta-v3-large__sst2__train-16-0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SetFit/deberta-v3-large__sst2__train-16-0") model = AutoModelForSequenceClassification.from_pretrained("SetFit/deberta-v3-large__sst2__train-16-0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e309939f9391733fe4adcbcd90ab8159fce36d6999c5e3557350b0075c1d88a8
- Size of remote file:
- 3.06 kB
- SHA256:
- 275d121ab64e15db16ea8abc24a00faf792f317510fefac86c54b0f219efbc76
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