Instructions to use Rayabharapu/starcoder2-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rayabharapu/starcoder2-3b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "Rayabharapu/starcoder2-3b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef94e877e6939a7bfc25ab4704cea7c604a220e726dea0c805d7f1c20d59f05c
- Size of remote file:
- 5.37 kB
- SHA256:
- b3614e000e0a0fe97b60bcab28ecb6e88b3d56693d695c2a87e8d75dd1e7dad9
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