Instructions to use jlpan/starcoder-tune-cpp2py-program1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jlpan/starcoder-tune-cpp2py-program1 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-program1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from jlpan/starcoder-tune-cpp2py-program1: direct link, hf CLI and curl.
- Browser
- Download file 35.6 MB
-
https://huggingface.co/jlpan/starcoder-tune-cpp2py-program1/resolve/76997138670f5a2c5b2ed21680d51672f4a9ed08/adapter_model.bin
- Command line
-
hf download hf://jlpan/starcoder-tune-cpp2py-program1@76997138670f5a2c5b2ed21680d51672f4a9ed08/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/jlpan/starcoder-tune-cpp2py-program1/resolve/76997138670f5a2c5b2ed21680d51672f4a9ed08/adapter_model.bin
35.6 MB
- Xet hash:
- 2433301c0635fed5873ecc9c520a0d97fae8b719913afb332b379ad230a01a5c
- Size of remote file:
- 35.6 MB
- SHA256:
- f65f5e3bf52a658b110e0ff8435fdef0e9977c323ea053c45559a7a55bbde40f
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