Instructions to use predibase/magicoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use predibase/magicoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "predibase/magicoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83db5658f2edef39f4b27d1309d10599091ef1c09b6bd97b253bdb95a12dc672
- Size of remote file:
- 13.6 MB
- SHA256:
- 8a87c71ab037eabcf65dc7d79f4dd909ebf0d086dd0fd21ca27b959424a4a233
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