Instructions to use LightChen2333/deberta-slu-atis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LightChen2333/deberta-slu-atis with Transformers:
# Load model directly from transformers import PretrainedModelForSLUToSave model = PretrainedModelForSLUToSave.from_pretrained("LightChen2333/deberta-slu-atis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16289e771e248ae376b93f2b9cbad39702d5ab912c617e76dd9af46d88aa069b
- Size of remote file:
- 736 MB
- SHA256:
- ab1d3df81219168d15e984d78ddaf2865f8a7e7081f036d83c7921a5d07985e5
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