Instructions to use luna-code/megengine-codeparrot-prefix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use luna-code/megengine-codeparrot-prefix with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codeparrot/codeparrot") model = PeftModel.from_pretrained(base_model, "luna-code/megengine-codeparrot-prefix") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 553387f9ea4db2a1aec1bc89a25c60d2c357e635db23282f53504b7313d95e59
- Size of remote file:
- 3.07 MB
- SHA256:
- f92094a198e35989f715be50f7d209c9eda77b8993431115647da6be735838c7
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