Instructions to use Chanjeans/gamerecommend with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Chanjeans/gamerecommend with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it") model = PeftModel.from_pretrained(base_model, "Chanjeans/gamerecommend") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a16216bc226cd2d23d348002dcfbfeb1305c972ed299ea19a7b4d8c94bdf2b4
- Size of remote file:
- 17.5 MB
- SHA256:
- 5f7c0158204a6f75a684c8fd16e147005c73ec32c89f1a0681f8fbfbcff8d29d
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