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-924/training_args.bin from TokenBender/starCoder2_7B_codeFeedback: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/TokenBender/starCoder2_7B_codeFeedback/resolve/main/checkpoint-924/training_args.bin
- Command line
-
hf download hf://TokenBender/starCoder2_7B_codeFeedback/checkpoint-924/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TokenBender/starCoder2_7B_codeFeedback/resolve/main/checkpoint-924/training_args.bin
4.92 kB
- Xet hash:
- 5da66a380337f521db5416210b42ca0ced1716e2e8d12f539e6c5746be1f5432
- Size of remote file:
- 4.92 kB
- SHA256:
- 5eafc7d0eb7f055ddd6fbba193c9843badab904036b02ccac0ca4e09c80561ff
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