Instructions to use nadejdatarabukina/38580cd2-ad44-44b8-8229-4e1d7f4ca221 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nadejdatarabukina/38580cd2-ad44-44b8-8229-4e1d7f4ca221 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-14B-Chat") model = PeftModel.from_pretrained(base_model, "nadejdatarabukina/38580cd2-ad44-44b8-8229-4e1d7f4ca221") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3408513944000c0005ef86cc6a2ffd444e6222b21cf5996978347e2e34a628ee
- Size of remote file:
- 6.78 kB
- SHA256:
- b8e172833803161316efd3e376407446a5e0f11d6294db734ec9db9a91e112ed
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