Instructions to use ashwincv0112/code-llama-13b-instruction-finetune2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ashwincv0112/code-llama-13b-instruction-finetune2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-13b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "ashwincv0112/code-llama-13b-instruction-finetune2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4a818184f8aea9d0650de5f43c62b3ecfaad90d04391a10cb8254906eefbff5
- Size of remote file:
- 26.3 MB
- SHA256:
- 2d14df47e7c5a262962d853a394b6b9f04d913a2c6dc8ec2d232cd6311a8212d
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