Instructions to use eeeebbb2/d0ab3bd2-2458-401a-92b0-42bb15b71659 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/d0ab3bd2-2458-401a-92b0-42bb15b71659 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "eeeebbb2/d0ab3bd2-2458-401a-92b0-42bb15b71659") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97018e96fdb01ae113f2e778bb4baea56f005dbcde1778eedf49e7a8784ea80c
- Size of remote file:
- 1.52 MB
- SHA256:
- a892ebdec680c09d105e8029acbc8b4560c0a1fe39d88aba0689e63e862f905f
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