Instructions to use lamm-mit/x-lora-gemma-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lamm-mit/x-lora-gemma-7b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lamm-mit/x-lora-gemma-7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 090ac526986540dcec127d49cf5667537396273e7cf87370945c0389974c9e18
- Size of remote file:
- 16.7 MB
- SHA256:
- 73af768aee0b3ca4594e6ad992b2f1a7c374ef1a0652afd44d4edf7c075968d3
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