Instructions to use sijunhe/test-plato-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use sijunhe/test-plato-model with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, UnifiedTransformerModel tokenizer = AutoTokenizer.from_pretrained("sijunhe/test-plato-model", from_hf_hub=True) model = UnifiedTransformerModel.from_pretrained("sijunhe/test-plato-model", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5da818bf9ec799c76658161f5074ac083be0b05f5f89c232242bb5e925aeb4af
- Size of remote file:
- 264 MB
- SHA256:
- 51740dafea25c34bdd69aaf0440500f54cc9167da63562d577342dd63632b1a5
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