Instructions to use yimacs/output_dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yimacs/output_dir with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yimacs/output_dir", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a98cfe5e04ce28cec575b2dcc49c2508828c57544c26180ed696af7c2c29499
- Size of remote file:
- 6.23 kB
- SHA256:
- c0f46109480ec5cb9abd77abc077c1f3d07a54d36f242d2cc2ca76fdc09c939d
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