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:
- 8cb72131e0c877c033d78f288211150a88deb5e127694b80fd64d0e4b489faa2
- Size of remote file:
- 2.8 kB
- SHA256:
- 9409407acd571c783e5eb22459059a64f9129882be790fb39c9ffdda3344fd0b
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