Instructions to use 0x1202/1d0bf1b7-8b77-45e4-869c-1752be82a1a8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/1d0bf1b7-8b77-45e4-869c-1752be82a1a8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "0x1202/1d0bf1b7-8b77-45e4-869c-1752be82a1a8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e2b9698581bdae7049df3b4aa128a2960c60ee444311186e4434110cd3f655b
- Size of remote file:
- 646 MB
- SHA256:
- 4fd99b4e0729742fd8e6bf392e7c0b43512957632cc8c3656c89551c9bab09ce
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