Instructions to use Sakuna/LLaMaCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sakuna/LLaMaCoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "Sakuna/LLaMaCoder") - Notebooks
- Google Colab
- Kaggle
Commit History
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Librarian Bot: Add base_model information to model (#1)
- Librarian Bot: Add base_model information to model (f749790ffc5ba0bc57ce68a4e7ed767ca260ac62) Co-authored-by: Librarian Bot (Bot) <[email protected]>80235ba
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