Instructions to use jlpan/starcoder-php2py-program1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jlpan/starcoder-php2py-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-php2py-program1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from jlpan/starcoder-php2py-program1: direct link, hf CLI and curl.
- Browser
- Download file 35.6 MB
-
https://huggingface.co/jlpan/starcoder-php2py-program1/resolve/main/adapter_model.bin
- Command line
-
hf download hf://jlpan/starcoder-php2py-program1/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/jlpan/starcoder-php2py-program1/resolve/main/adapter_model.bin
35.6 MB
- Xet hash:
- 6c7eebd597c612e95d590be6ba549a0698aa3624e28d7611eda8ee50ef5faa48
- Size of remote file:
- 35.6 MB
- SHA256:
- a11de268348b30ecf5983e7524e0e64a04bf1887eae1c988a4978e22d799360d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.