Zero-Shot Classification
Transformers
ONNX
English
deberta-v2
text-classification
ORTModelForSequenceClassification
Instructions to use pitangent-ds/deberta-v3-nli-onnx-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pitangent-ds/deberta-v3-nli-onnx-quantized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="pitangent-ds/deberta-v3-nli-onnx-quantized")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pitangent-ds/deberta-v3-nli-onnx-quantized") model = AutoModelForSequenceClassification.from_pretrained("pitangent-ds/deberta-v3-nli-onnx-quantized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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