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:
- 1ec5a812d34c2e38f29a49990afd5605a81cd71f698b26e1043467fa9573af47
- Size of remote file:
- 1.93 GB
- SHA256:
- 7741ee595d00c3d77e25f964808c165ed98be701e26e3d3171dcee19da817a39
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