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 tokenizer.json from TokenBender/starCoder2_7B_codeFeedback: direct link, hf CLI and curl.
- Browser
- Download file 2.06 MB
-
https://huggingface.co/TokenBender/starCoder2_7B_codeFeedback/resolve/973ffd8159f7cb128e467d1aca7b6f5a948dedfb/tokenizer.json
- Command line
-
hf download hf://TokenBender/starCoder2_7B_codeFeedback@973ffd8159f7cb128e467d1aca7b6f5a948dedfb/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/TokenBender/starCoder2_7B_codeFeedback/resolve/973ffd8159f7cb128e467d1aca7b6f5a948dedfb/tokenizer.json
2.06 MB
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