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:
- f815fd8bf3b53bb073e6f0480ce4ac7fa9d9ebe5dc44d0b70eb3b02c69d7964e
- Size of remote file:
- 467 kB
- SHA256:
- 3aaf418fa585e9e145796b5150987aa208cc6e602eed0d0a563031e5c7918cb4
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