Zero-Shot Classification
Transformers
PyTorch
Safetensors
English
deberta-v2
text-classification
deberta-v3
deberta-v2`
deberta-mnli
Instructions to use NDugar/v3large-2epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NDugar/v3large-2epoch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="NDugar/v3large-2epoch")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NDugar/v3large-2epoch") model = AutoModelForSequenceClassification.from_pretrained("NDugar/v3large-2epoch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Verified signatureOther related trainings and config specs. Reality: Dumping old files that may be related tbh.cf07427
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (9f456300aa83b3b35bbe3e818a1f3e05d7453f8f) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>cbdb3d2
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