Instructions to use unanam/large_lora_ver2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unanam/large_lora_ver2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unanam/large_lora_ver2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eaca0fc520d816b6f3cbd976a477fc52f1636edf03a328dc1633a436e5919062
- Size of remote file:
- 4.67 kB
- SHA256:
- 1facb2f2ee68ae638559c5f37da9eee1739d3e37066b495193a0fe586ef8f5bb
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