Zero-Shot Classification
Transformers
PyTorch
English
deberta-v2
text-classification
deberta-v3
deberta-v2`
deberta-mnli
Instructions to use NDugar/3epoch-3large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NDugar/3epoch-3large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="NDugar/3epoch-3large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NDugar/3epoch-3large") model = AutoModelForSequenceClassification.from_pretrained("NDugar/3epoch-3large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a5a5dc1ea82b73e8f00f24a838e6c9231ddb6f86f9e308d3199c87253c303bc
- Size of remote file:
- 623 Bytes
- SHA256:
- eefc36877cb40a0047509c764d15592b12eca19933b905cd6fb42e3b18ac2c52
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