Instructions to use SetFit/deberta-v3-large__sst2__train-16-3 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-16-3 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-16-3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SetFit/deberta-v3-large__sst2__train-16-3") model = AutoModelForSequenceClassification.from_pretrained("SetFit/deberta-v3-large__sst2__train-16-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6611c85871c81c9b0d5bca49e3af537c088894bd1db14ca527e426d86cd3df95
- Size of remote file:
- 3.06 kB
- SHA256:
- bb85171c421ba0546299ed919dbf776346de4aca996330b8894aa78651af230e
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