Zero-Shot Classification
Transformers
PyTorch
ONNX
Safetensors
English
deberta-v2
text-classification
Instructions to use MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33") model = AutoModelForSequenceClassification.from_pretrained("MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33") - Notebooks
- Google Colab
- Kaggle
Onnx version of the model giving list index out of range error.
2
#5 opened over 2 years ago
by
Gopalkrishna
Come on try quantizing this
#4 opened over 2 years ago
by
supercharge19