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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gpol13/codet5_qlora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-5658/optimizer.pt from gpol13/codet5_qlora: direct link, hf CLI and curl.
- Browser
- Download file 7.2 MB
-
https://huggingface.co/gpol13/codet5_qlora/resolve/main/checkpoint-5658/optimizer.pt
- Command line
-
hf download hf://gpol13/codet5_qlora/checkpoint-5658/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/gpol13/codet5_qlora/resolve/main/checkpoint-5658/optimizer.pt
7.2 MB
- Xet hash:
- 0a8e4909bf5a32d7607441f44d180f43bedf271ea338f8f92cbd22cd05cc4764
- Size of remote file:
- 7.2 MB
- SHA256:
- 8d39453c19287e62a374e0bdaa02653cf349611ad219292b14fb3b6e47547a4c
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