Instructions to use EdBerg/outputs3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EdBerg/outputs3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EdBerg/outputs3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71b664f196f387e1ab69f57fb3fa16706875db2ba99860fda8d3b62014e0374a
- Size of remote file:
- 5.5 kB
- SHA256:
- 80a0eb4b9a16f23681e23fd7e663fd2637750d92e74b7e7cf079052c1439b3d4
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