Instructions to use LightChen2333/gl-gin-slu-mix-atis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LightChen2333/gl-gin-slu-mix-atis with Transformers:
# Load model directly from transformers import PretrainedModelForSLUToSave model = PretrainedModelForSLUToSave.from_pretrained("LightChen2333/gl-gin-slu-mix-atis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from LightChen2333/gl-gin-slu-mix-atis: direct link, hf CLI and curl.
- Browser
- Download file 9.2 MB
-
https://huggingface.co/LightChen2333/gl-gin-slu-mix-atis/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://LightChen2333/gl-gin-slu-mix-atis/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/LightChen2333/gl-gin-slu-mix-atis/resolve/main/pytorch_model.bin
9.2 MB
- Xet hash:
- 71d63ef548d76329e3c2a018379df0cf038fd2eb8bfe30a940855d1eee10a74a
- Size of remote file:
- 9.2 MB
- SHA256:
- cf7b6cd788f0b8211327a1e690f8b16febbf5e479c09e445825f67297c94b0a6
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