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:
- 80a0bf7442da350d5e88fd44f296628f6b03ed564970aab5eac829d575f85024
- Size of remote file:
- 60.6 MB
- SHA256:
- a345fb2454d5f2f54887250d6032c4b6633afdeaa986fba71d5f0a3106aea8ca
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