Instructions to use spandana30/software-engineer-codellama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use spandana30/software-engineer-codellama 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, "spandana30/software-engineer-codellama") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67f6dd26fcb8781cdc597663862c66bb953563148d87a61993415e65af5e8089
- Size of remote file:
- 5.24 kB
- SHA256:
- f6b699bebe7430999b55c256774e4e9f6f3a3c8fefc1131618b1982bb674934e
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