Instructions to use sleepypandu/training-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sleepypandu/training-test with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sleepypandu/training-test", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d0ffe2ef965143101f57ea6dbe3e28b8e80d143f08177e21a2d98c0bd48ea4e
- Size of remote file:
- 6.26 kB
- SHA256:
- a94123a1b002d68b006d86a7c5d959ef0bab9a1252dd13a92e9bb7ffec07cc8c
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