Instructions to use prasannadevadiga/code-qa-codellama2-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prasannadevadiga/code-qa-codellama2-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "prasannadevadiga/code-qa-codellama2-7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1205b3d3714f87c8b85015326db7922b21926bd3e3d151ca67419641237f48d
- Size of remote file:
- 25.2 MB
- SHA256:
- e9522135546993b810d01a0973b38ca7fd266095f671e810e002fb8972cb4798
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