Instructions to use TokenBender/starCoder2_7B_codeFeedback with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TokenBender/starCoder2_7B_codeFeedback with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-7b") model = PeftModel.from_pretrained(base_model, "TokenBender/starCoder2_7B_codeFeedback") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2774dd7dc97f564dc6b77e02011001c41f29c964bcaa6ad5dc6dd8aa5f0b4429
- Size of remote file:
- 118 MB
- SHA256:
- e7158209076c41e69f6b886800804e2cdf2f2eb47c3155b57d8c7801a5525374
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.