Instructions to use hecklebunt/starcoder2_dev_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hecklebunt/starcoder2_dev_data with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "hecklebunt/starcoder2_dev_data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f783c62edd30d4cccdfec5117faeca7b068da19a6bf72042f820fd792dae8d7
- Size of remote file:
- 18.2 MB
- SHA256:
- 0a1b60f44b550699c6771ab022d3f4b95daad577c2caac892a82aed72d755f2f
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