Instructions to use Jiqing/test-fengjiqing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jiqing/test-fengjiqing with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jiqing/test-fengjiqing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5bd2915dcbedfb95778d0beec9a09a42c19bf27e0746e5d900dcb7f1a90cff4
- Size of remote file:
- 674 MB
- SHA256:
- fcae30a6c715639d1f5d4255a53ce0b479d058f96b3d2f7c554a1fa78410289a
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