Instructions to use abukashan/code-llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abukashan/code-llama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "abukashan/code-llama") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 568a559454ac5f6e137e51fff4ab137b646994838cb142de6eff9f8774c71dbf
- Size of remote file:
- 134 MB
- SHA256:
- 67b5dbdd0b32b35393be631536a0a1694755daa688f7c9bff68b667c07883995
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