Instructions to use jlpan/starcoder-csharp2py-program2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jlpan/starcoder-csharp2py-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-csharp2py-program2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa1848eb8506898336fd1d068b0c8b4afd0eabc66dc82162735cc4e36557cc9c
- Size of remote file:
- 35.6 MB
- SHA256:
- 52aef82b1d64c3642f34787e495e0d0237a1006971c7414af970c8de59722b8c
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