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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbbc20da47fc6178c45045ec9ae8cf9c476113cf8cdaa1a1352156859b3c28b2
- Size of remote file:
- 7.2 MB
- SHA256:
- a297fa43902036f425ebef026e9b07f87a2ecc04deb5e369d0c86cee2cbca96c
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