Instructions to use dada22231/531899f2-d8d8-474c-8b9a-ab7716a611da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/531899f2-d8d8-474c-8b9a-ab7716a611da with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "dada22231/531899f2-d8d8-474c-8b9a-ab7716a611da") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a8ff4babb8533c4f83ba95f7247af34158f3b15b9e5b2bdcd3f6492ba64dc75
- Size of remote file:
- 70.5 MB
- SHA256:
- c69aa30f682bfc3ea2b882fa6d573f81d84d2f8ab505609bcba03d5387b22421
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