Zero-Shot Classification
Transformers
PyTorch
Safetensors
English
deberta-v2
text-classification
deberta-v3
deberta-mnli
deberta
Instructions to use NDugar/debertav3-mnli-snli-anli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NDugar/debertav3-mnli-snli-anli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="NDugar/debertav3-mnli-snli-anli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NDugar/debertav3-mnli-snli-anli") model = AutoModelForSequenceClassification.from_pretrained("NDugar/debertav3-mnli-snli-anli") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
No description provided.
NDugar changed pull request status to merged