Instructions to use LightChen2333/joint-bert-slu-atis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LightChen2333/joint-bert-slu-atis with Transformers:
# Load model directly from transformers import PretrainedModelForSLUToSave model = PretrainedModelForSLUToSave.from_pretrained("LightChen2333/joint-bert-slu-atis", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15f4a644b817e12e1dbb78706fa314936b67becd1efe71b6555bc46dc177f1f8
- Size of remote file:
- 438 MB
- SHA256:
- 1f7e0356912bfd16c06fbc3d45efe9da0e385b9ebee193dfa029806fa8d67e13
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