Instructions to use StonyBrookNLP/StarCoder2-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use StonyBrookNLP/StarCoder2-SFT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-7b") model = PeftModel.from_pretrained(base_model, "StonyBrookNLP/StarCoder2-SFT") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from StonyBrookNLP/StarCoder2-SFT: direct link, hf CLI and curl.
- Browser
- Download file 777 kB
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https://huggingface.co/StonyBrookNLP/StarCoder2-SFT/resolve/main/vocab.json
- Command line
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hf download hf://StonyBrookNLP/StarCoder2-SFT/vocab.json
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curl -L -o vocab.json https://huggingface.co/StonyBrookNLP/StarCoder2-SFT/resolve/main/vocab.json
777 kB
File too large to display, you can check the raw version instead.