Instructions to use EdBerg/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EdBerg/results with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EdBerg/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- beecca7147d421615ab129bce2bc885673db97214f0569eafb7ca68c45d19887
- Size of remote file:
- 5.5 kB
- SHA256:
- b3d03ff56890decebb845f425c4f689ea6eaebcb5f191d1664c7b5c131d70bb5
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