Instructions to use LonlyDWolf/CodeT5p-220M-For-Code-Generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LonlyDWolf/CodeT5p-220M-For-Code-Generation with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Salesforce/codet5p-220m") model = PeftModel.from_pretrained(base_model, "LonlyDWolf/CodeT5p-220M-For-Code-Generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b14dc16fdbd5218930af75f5b3882c0146eedcd115c0f211319c04f41b7dc99
- Size of remote file:
- 7.12 MB
- SHA256:
- b383491e6f173c2560f4812f810fd73d8f261a5310836dd9b7b6648f6a6e4cf7
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