Zero-Shot Classification
Transformers
PyTorch
Safetensors
English
deberta-v2
text-classification
deberta-v1
deberta-mnli
Instructions to use NDugar/v3-Large-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NDugar/v3-Large-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="NDugar/v3-Large-mnli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NDugar/v3-Large-mnli") model = AutoModelForSequenceClassification.from_pretrained("NDugar/v3-Large-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (7fda435f75d98c390442b05f64057fca4b7b8c78) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>6c9e9b6 -
Librarian Bot: Add base_model information to model (#2)
- Librarian Bot: Add base_model information to model (2cfd4c9c97133508a3217c68794276d3c3a6b934) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>a74c16f
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