Instructions to use nkasmanoff/starcoder-python-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nkasmanoff/starcoder-python-1b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "nkasmanoff/starcoder-python-1b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70cecc717bccfd059134a183465d2d8f02f14c9c3e0d3689835ef9ef2a906f73
- Size of remote file:
- 8.05 MB
- SHA256:
- 777434716a9a5c1d8b52d0a6ea7cb1a34172658ddbb8704b717bfa997d8ec5b7
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