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
- Xet hash:
- 0807d1da038c42ec92dabaedf5a6d887291fdb562c2ea6f18adf432ed6765751
- Size of remote file:
- 870 MB
- SHA256:
- 2031ec34340911b2cecf4f95f5e24db91b2a5d7ea0fa1e704e9cd6d61585e477
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