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:
- c26e6b348fdc46c52254ce5fa3365eea864853bf4d41cd4e93966442e9acbd7b
- Size of remote file:
- 405 MB
- SHA256:
- d7930c6bd233e533d953508ad38dc5579b27666b5e3624fa0323ddd7539868f0
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