Instructions to use wraps/finetune_starcoder2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wraps/finetune_starcoder2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "wraps/finetune_starcoder2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fe0436f9649c89508db50c17d21059a861f358c6f45b59bc6e0c65255ba5586
- Size of remote file:
- 9.12 MB
- SHA256:
- 63b2215bebdb86d970f8436873bc63a27c7dbac4f1207f3585e6b17961dcdcc6
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