Instructions to use Liching/api-generator-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Liching/api-generator-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Liching/api-generator-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 618a45326c652e9c4eda59e9d74727c91273ae506f1cd0a01746280195eed7d3
- Size of remote file:
- 9.02 MB
- SHA256:
- 04f9539f077eafab45ffa62eb7153449e9b7ef542f0ec8386d97f42d7f857978
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