Zero-Shot Classification
Transformers
PyTorch
Safetensors
English
deberta-v2
text-classification
deberta-v3
deberta-v2`
deberta-mnli
Instructions to use NDugar/v3large-1epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NDugar/v3large-1epoch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="NDugar/v3large-1epoch")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NDugar/v3large-1epoch") model = AutoModelForSequenceClassification.from_pretrained("NDugar/v3large-1epoch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0383765ce983e4a2eda3d10a2df4120fa7f1556bcb1fabc44f197a7f749f60f8
- Size of remote file:
- 3.48 GB
- SHA256:
- 7fc477f55816300ce73341afa1829884ca66d85b8ad8bf2184a39105a9e0ff0c
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