Instructions to use FirstPotatoCoder/Genshin-3267 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FirstPotatoCoder/Genshin-3267 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-3267") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7fe018c6a899b1da1ff899404687b147801b90eceda4294af071de2b0d48708
- Size of remote file:
- 517 MB
- SHA256:
- 7db46008a6ea194587e83f715df56173732983fba8967aba4f16425f89a35fc2
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