Instructions to use rreit/codeLlama13B-StaproCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rreit/codeLlama13B-StaproCoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-13b-hf") model = PeftModel.from_pretrained(base_model, "rreit/codeLlama13B-StaproCoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a501aab2038d48c777baefaa9084622d35233734c7dc11d9370d997251f5466
- Size of remote file:
- 501 MB
- SHA256:
- 8e9db7f958e1bc2ce744b3030197194db17eeb36c4075aadd66c8d0697ab9de3
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