Instructions to use dada22231/80a89bc3-899f-4e23-9896-759501ad8a54 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/80a89bc3-899f-4e23-9896-759501ad8a54 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "dada22231/80a89bc3-899f-4e23-9896-759501ad8a54") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a893c0c1bd3a496f5e66ba5dc5ec9dbed36979f35c744918a4a357b4a8256c2b
- Size of remote file:
- 240 MB
- SHA256:
- 9dbfc2036674ba4d327943152a37a4668fbfc201b4e917a33a486a9b9556daf8
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