Instructions to use LightChen2333/electra-slu-atis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LightChen2333/electra-slu-atis with Transformers:
# Load model directly from transformers import PretrainedModelForSLUToSave model = PretrainedModelForSLUToSave.from_pretrained("LightChen2333/electra-slu-atis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a13c3f30d15c6300423b160e8c03b8b3572cbf4739c82728f9e59f20847e9b78
- Size of remote file:
- 54.2 MB
- SHA256:
- 77bb70493bfe029fe320502bfb7409f69aa5e6bfe3cd12d03bf9fbab44f7098f
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