Instructions to use Hacking2188/deberta-v3-large-zeroshot-v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hacking2188/deberta-v3-large-zeroshot-v2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Hacking2188/deberta-v3-large-zeroshot-v2.0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hacking2188/deberta-v3-large-zeroshot-v2.0") model = AutoModelForSequenceClassification.from_pretrained("Hacking2188/deberta-v3-large-zeroshot-v2.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Duplicate from MoritzLaurer/deberta-v3-large-zeroshot-v2.0
Co-authored-by: Moritz Borrett-Laurer (formerly Laurer) <MoritzLaurer@users.noreply.huggingface.co>d15dfd6