Instructions to use FirstPotatoCoder/Genshin-5445 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FirstPotatoCoder/Genshin-5445 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/csm-1b") model = PeftModel.from_pretrained(base_model, "FirstPotatoCoder/Genshin-5445") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a28cac8caea4ce240649894890a1c241614e38153feac75ef88bb3003061423
- Size of remote file:
- 517 MB
- SHA256:
- 39002ee6e1a08ac79ae0deb713ff5d2b95f3195ef00b511ec9e4de36ae07f0b8
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