Instructions to use 1-lock/8b31fb2b-8aa0-46dd-a1d7-4bb72ccbd49e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/8b31fb2b-8aa0-46dd-a1d7-4bb72ccbd49e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "1-lock/8b31fb2b-8aa0-46dd-a1d7-4bb72ccbd49e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a493fc8243937debd3f47f1ddf7405a16c6f6b8f26bd96e1a5d9b87aa9c7a056
- Size of remote file:
- 148 MB
- SHA256:
- ae91031f1767040000fece8736925b4505108d00d1473a497bfb2e4d1b340aab
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