Instructions to use LightChen2333/dca-net-slu-atis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LightChen2333/dca-net-slu-atis with Transformers:
# Load model directly from transformers import PretrainedModelForSLUToSave model = PretrainedModelForSLUToSave.from_pretrained("LightChen2333/dca-net-slu-atis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c0781e0ee136f343498ad1fddda3eaf4f24579f086d59c92fc4ea2d5635668c
- Size of remote file:
- 4.84 MB
- SHA256:
- ba6d652e808b302768d9c7690a9e7efdab98cdef1ea1e4cf2382f357db6cdf65
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