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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b1c8efe561c7b2f0af1e11f9af142f8a0449f34d8c8ba15b826254013a457eb
- Size of remote file:
- 3.48 GB
- SHA256:
- ea6225f95a7025b875ed029cc4b11491044e9d54c031311211a5fb692a758b42
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