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:
- 0a8e4909bf5a32d7607441f44d180f43bedf271ea338f8f92cbd22cd05cc4764
- Size of remote file:
- 7.2 MB
- SHA256:
- 8d39453c19287e62a374e0bdaa02653cf349611ad219292b14fb3b6e47547a4c
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