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 adapter_model.bin from jlpan/starcoder-java2py-program2: direct link, hf CLI and curl.
- Browser
- Download file 35.6 MB
-
https://huggingface.co/jlpan/starcoder-java2py-program2/resolve/refs%2Fpr%2F1/adapter_model.bin
- Command line
-
hf download hf://jlpan/starcoder-java2py-program2@refs/pr/1/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/jlpan/starcoder-java2py-program2/resolve/refs%2Fpr%2F1/adapter_model.bin
35.6 MB
- Xet hash:
- 4a4874b41dae045918685854c1b20a64330d917e8a8b989a8888429253d6b4cb
- Size of remote file:
- 35.6 MB
- SHA256:
- 5f3f9c0960d21db5403c1865384c8b922d5e3371fe1b6fd6b82eacfd8b09c503
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