Instructions to use souging/1d2b505e-b9ed-47dd-9efa-613aa6ab044d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/1d2b505e-b9ed-47dd-9efa-613aa6ab044d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-0.5B-Chat") model = PeftModel.from_pretrained(base_model, "souging/1d2b505e-b9ed-47dd-9efa-613aa6ab044d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91bf184ab12793d0754344f9095332759432e666320cc6c07f637af50e36db6f
- Size of remote file:
- 500 kB
- SHA256:
- 9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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