Instructions to use gpol13/codet5_qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gpol13/codet5_qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5-base") model = PeftModel.from_pretrained(base_model, "gpol13/codet5_qlora") - Transformers
How to use gpol13/codet5_qlora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gpol13/codet5_qlora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb20f3dea9ff2f5821b1911136243bc5064aeb2d50aa023684155c3839cd1532
- Size of remote file:
- 14.2 kB
- SHA256:
- 6c97783621e71cbe29e01a57da9a71edeb763dd2270faf812ebf719134716d58
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