Instructions to use wesley7137/MetaMath-CodeLlama-Python-7B-V1-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wesley7137/MetaMath-CodeLlama-Python-7B-V1-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-Python-hf") model = PeftModel.from_pretrained(base_model, "wesley7137/MetaMath-CodeLlama-Python-7B-V1-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dc39af7b19eaaed38354fbdfbc7ae493a104ab1544339b2668cff460c6b0cab
- Size of remote file:
- 134 MB
- SHA256:
- cf8ca798c3827b6a534c0e4b1fa4c4027be75a6b8212b7ae1951a91b5521e9ae
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