Instructions to use demohong/e21ff694-1acd-46c5-89e4-3af6964c00ce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use demohong/e21ff694-1acd-46c5-89e4-3af6964c00ce with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B") model = PeftModel.from_pretrained(base_model, "demohong/e21ff694-1acd-46c5-89e4-3af6964c00ce") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23824e9c3627038f5b73b24709a1c5bde159ae288afca03ed2ad040179b2e381
- Size of remote file:
- 6.78 kB
- SHA256:
- eb001fadaae3539272d72571914e0e51cc518b4966280d92f0cb8b6bf7c92fa1
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