Instructions to use bjoernp/opt2.7B-de-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bjoernp/opt2.7B-de-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bjoernp/opt2.7B-de-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f07b5902e1a720f6b5361201ad4cb4033fa1219c56fe7c132efc24d36ec9edf9
- Size of remote file:
- 10.5 MB
- SHA256:
- dbd9a1c462c6c5f71fe29c5ce72d0c103f0e3056405317e941500fdd9a1652ef
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