Instructions to use 1-lock/fe73ee49-b31e-44e2-9299-13a4ba990126 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/fe73ee49-b31e-44e2-9299-13a4ba990126 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "1-lock/fe73ee49-b31e-44e2-9299-13a4ba990126") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40c69092f26c9a0ae75e5daeafb5312f7a60c54c280df6f54389de37d3b2dade
- Size of remote file:
- 1.55 MB
- SHA256:
- fd619595da74ff8262b05bbc898f7e70f17bab7d2b7eec81e0116bacb68fcfc8
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