Instructions to use peterhung/EvolCodeLlama-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use peterhung/EvolCodeLlama-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "peterhung/EvolCodeLlama-7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ef6ebfa28fa3571f93ba9155e09bcf45bc50dc986311ed493eb157700b56cee
- Size of remote file:
- 5.3 kB
- SHA256:
- 6760a6922a68256e22bdfaa29343ab93fe75f7ff24ec616afa86807a7a8e0770
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