Text Generation
PEFT
Safetensors
English
code-review
qlora
lora
codellama
python
pull-request
conversational
Instructions to use zenlyst/codellama-7b-pr-review-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zenlyst/codellama-7b-pr-review-lora 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, "zenlyst/codellama-7b-pr-review-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1153bfcbd4ec2d1636fdb764e096b2cd0db84c109f8e521f2ea20af59ef283a
- Size of remote file:
- 500 kB
- SHA256:
- 45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
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