Instructions to use LightChen2333/dca-net-slu-snips with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LightChen2333/dca-net-slu-snips with Transformers:
# Load model directly from transformers import PretrainedModelForSLUToSave model = PretrainedModelForSLUToSave.from_pretrained("LightChen2333/dca-net-slu-snips", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bd5e0474597fa8b365df55e2286b10dbacf656662c10af9920ef8d72919061f
- Size of remote file:
- 17.8 MB
- SHA256:
- a936c5c37f1c7f8d72322016df1885c2f53240cdd24db14f0c4f990e89fdeda0
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