Instructions to use 0x1202/87452ece-b414-41a5-92fe-520220d5df01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/87452ece-b414-41a5-92fe-520220d5df01 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, "0x1202/87452ece-b414-41a5-92fe-520220d5df01") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ea5cb47d3109534b60ca4834def97780674b71e29355490541f0ada369c5a96
- Size of remote file:
- 141 MB
- SHA256:
- 971541cc7f16fced6d0b2eeb017079df152c2ef8728f79c375321b62ed2b4915
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