Instructions to use LightChen2333/agif-slu-mix-snips with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LightChen2333/agif-slu-mix-snips with Transformers:
# Load model directly from transformers import PretrainedModelForSLUToSave model = PretrainedModelForSLUToSave.from_pretrained("LightChen2333/agif-slu-mix-snips", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d70e7717e7196e2437a6581931bef7744a5ff2d07b079eae0a6e3fc89ed3d2f5
- Size of remote file:
- 10.5 MB
- SHA256:
- bb6ff21f57d23328345b08d30a6792d24186804a4f2a91f3de2b49d1125a34d9
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