Zero-Shot Classification
Transformers
PyTorch
English
deberta-v2
text-classification
deberta-v3
deberta-v2`
deberta-mnli
Instructions to use NDugar/1epochv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NDugar/1epochv3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="NDugar/1epochv3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NDugar/1epochv3") model = AutoModelForSequenceClassification.from_pretrained("NDugar/1epochv3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6876bef91708a4111e46345e0ac883a7b68ac0de94160af85bff29895ba5a83c
- Size of remote file:
- 1.74 GB
- SHA256:
- 0573bca77cd83ed596efd314617df1c8528d10b7a935f2fc1574ee3e0fc4fb45
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