Instructions to use FirstPotatoCoder/Genshin-4356 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FirstPotatoCoder/Genshin-4356 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-4356") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f4a442508b7849847e2a2c6adb289fa78259db9ae2c81f3ed8d9a916b5ffc17
- Size of remote file:
- 517 MB
- SHA256:
- a26ec7a4216aae1ccbc2ced71d8e13f8e400378a64602f4968173fe06e3ab845
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