Instructions to use nhoxinh/54e7e79e-6dc2-4e70-85f6-e3dcafe633ac with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhoxinh/54e7e79e-6dc2-4e70-85f6-e3dcafe633ac with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-9b") model = PeftModel.from_pretrained(base_model, "nhoxinh/54e7e79e-6dc2-4e70-85f6-e3dcafe633ac") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9d7f47c1120e5e8b5776351b9b13ad7c896f4f3d350276b97bb43b730c8461b
- Size of remote file:
- 108 MB
- SHA256:
- ac18f7d992fd2e992c5a0216defb42a13dd961644144fcc2e075258e569daa62
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