Instructions to use KoljaB/SamuelL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoljaB/SamuelL with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KoljaB/SamuelL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44e58985ce08768e4acfcf03ad956839101ffe9d7496eca9606ec92647ada3b9
- Size of remote file:
- 1.55 MB
- SHA256:
- 03c6aed2fd071dde155bd7046931049ba4db82b5c94e0efed1dac0aa7667e5b1
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