Instructions to use zeroshot/deberta-binary-quest-state with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeroshot/deberta-binary-quest-state with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zeroshot/deberta-binary-quest-state")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zeroshot/deberta-binary-quest-state") model = AutoModelForSequenceClassification.from_pretrained("zeroshot/deberta-binary-quest-state", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 990ced2e0722611182b9be215da55605bf4b9960e9985bb47818a3c35029d863
- Size of remote file:
- 738 MB
- SHA256:
- 102fd1749a4bf341a01dfb23983361a27aeafa4a67c4537efa8dafde52a8cfc2
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