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:
- 431bb4e826c9bfa17df89b1226c3b4e14d6f4ef756822ec248db9b62ef1a3dae
- Size of remote file:
- 7.2 MB
- SHA256:
- c04e29cafb03c1fb0361b65819a2b918e86057fd1a3e4c82290b44ccde2a1b70
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