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:
- 1036cef76a8ef6172b64369de9d8d6a149d56bc3a73c97ec42054eebb41686da
- Size of remote file:
- 4.98 kB
- SHA256:
- befbcf60a1d993005396d84908e4ee298cf0057a3029dd7ea372d5b741a86c43
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