Instructions to use Shunchang/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shunchang/tmp with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Shunchang/tmp", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7994a7778b436e6c115af1e34bb4caa6ecbf63d3cfc3ab1b7cfca97a5031f0a7
- Size of remote file:
- 5.3 kB
- SHA256:
- 6915a4db6454dc3900a275ddd3a5bb76f85a51dd47b367f6719fe970e691e6b9
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