Instructions to use AIArchiveInfo/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 AIArchiveInfo/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="AIArchiveInfo/deberta-v3-large-zeroshot-v2.0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIArchiveInfo/deberta-v3-large-zeroshot-v2.0") model = AutoModelForSequenceClassification.from_pretrained("AIArchiveInfo/deberta-v3-large-zeroshot-v2.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
7eecff2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7174ebede2e9f6479616b183d5cfb9e7fe2b0e0ae1b8ae1566788b50cd1c9a6e
size 4920
|