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
Download checkpoint-462/optimizer.pt from TokenBender/starCoder2_7B_codeFeedback: direct link, hf CLI and curl.
- Browser
- Download file 118 MB
-
https://huggingface.co/TokenBender/starCoder2_7B_codeFeedback/resolve/main/checkpoint-462/optimizer.pt
- Command line
-
hf download hf://TokenBender/starCoder2_7B_codeFeedback/checkpoint-462/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/TokenBender/starCoder2_7B_codeFeedback/resolve/main/checkpoint-462/optimizer.pt
118 MB
- Xet hash:
- 2774dd7dc97f564dc6b77e02011001c41f29c964bcaa6ad5dc6dd8aa5f0b4429
- Size of remote file:
- 118 MB
- SHA256:
- e7158209076c41e69f6b886800804e2cdf2f2eb47c3155b57d8c7801a5525374
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