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:
- c3f24e9521cc6c4d12c38825d3a4d4dcc9dda6101cfae717be83af9207017e16
- Size of remote file:
- 3.11 MB
- SHA256:
- e3dabc6ceff078140b4459dc312b31976eba1c0c853a3b6c4a738d122dbe17d5
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