Instructions to use jlpan/starcoder-tune-cpp2py-program3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jlpan/starcoder-tune-cpp2py-program3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder") model = PeftModel.from_pretrained(base_model, "jlpan/starcoder-tune-cpp2py-program3") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jlpan/starcoder-tune-cpp2py-program3: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/jlpan/starcoder-tune-cpp2py-program3/resolve/main/training_args.bin
- Command line
-
hf download hf://jlpan/starcoder-tune-cpp2py-program3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jlpan/starcoder-tune-cpp2py-program3/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- e55619efe6987dc3ff0b9e0396c67133640d5572e01e89747fd0b95353fa801e
- Size of remote file:
- 4.03 kB
- SHA256:
- dbc0476d9e4b12e0a884a4543e5c1442fe85dae9fac5350603226d9fffd83024
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