Instructions to use 1-lock/7cdedd27-7429-4fa5-8216-572f3edb7ed7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/7cdedd27-7429-4fa5-8216-572f3edb7ed7 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/7cdedd27-7429-4fa5-8216-572f3edb7ed7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ea149d025209946d8eef7b77afadba67bd37f4fdfd1d640f26bd880e710549c
- Size of remote file:
- 1.52 MB
- SHA256:
- ed4ec9e2291c801ef98d9360cc6206aa3075bab39c39595c6ce0aba814f6565b
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