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:
- 1f3f496ea0db09922ed3d2a790807e71ca3c7bd39b08af2d96c4d88d0d353575
- Size of remote file:
- 1.74 GB
- SHA256:
- 01fd520d36a8feb66e9c75d353c5c31d3c7874cb5b5e98d5b446ee54af438d61
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