Instructions to use jlpan/starcoder-java2py-program2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jlpan/starcoder-java2py-program2 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-java2py-program2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jlpan/starcoder-java2py-program2: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/jlpan/starcoder-java2py-program2/resolve/main/training_args.bin
- Command line
-
hf download hf://jlpan/starcoder-java2py-program2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jlpan/starcoder-java2py-program2/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 234faaf2187301eeee2abcff6f14c870fbd3a9926b45e79833e6f08d83cf115c
- Size of remote file:
- 4.03 kB
- SHA256:
- 861370e1dc37ae6bc9e84db1355cc11d2ec3263c3ac32f1bbc079d9a2f59a408
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