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:
- ef731e11a016474b398bf85fe80f84a7b2851856f5d1a05c564f71bfdfed40c2
- Size of remote file:
- 6.84 kB
- SHA256:
- f95d06946faaa5087c951d161f8c84f04e5da0c1bde75db23cb9a405da1d1ec8
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