Instructions to use nblinh/94eb9524-02e1-458d-baee-527d3084d9c6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nblinh/94eb9524-02e1-458d-baee-527d3084d9c6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-14B-Instruct") model = PeftModel.from_pretrained(base_model, "nblinh/94eb9524-02e1-458d-baee-527d3084d9c6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0435300b9e80c11cd49bc08eac787c11e1bc1c2fc647f82c47442d4d98d1a3d1
- Size of remote file:
- 6.78 kB
- SHA256:
- 5908d146dd04201d1787ff43e6cab2888bfe6b929ad67dfd0bc26a6297367461
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