Instructions to use EdBerg/outputs1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EdBerg/outputs1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EdBerg/outputs1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c98d6fc5e70dc88449100010856029cd6e308e0ca185f6ab0c6d11460e861730
- Size of remote file:
- 5.56 kB
- SHA256:
- 09d67b599cfda4cfc44a39cabbf72b81d6f95f4810a6bddecc01be047f494f8f
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