Instructions to use Ruiyang77/output_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ruiyang77/output_v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ruiyang77/output_v1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ff340f2f1374a70f687e640ccc48facc45debc8851d6dd8ec193a952ca987f2
- Size of remote file:
- 2.76 GB
- SHA256:
- 71daac49235d10d319504af5f3b6da6651418e7fdf7202d2c6f4ede637522815
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