Instructions to use arnavgrg/codealpaca-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arnavgrg/codealpaca-qlora 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, "arnavgrg/codealpaca-qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8fcc21a3cefbb7bbc80e126491fecbd8a8b4d1364045b48cadc5f94d2029d4c
- Size of remote file:
- 16.8 MB
- SHA256:
- 3867d2007054488f13ff86b9c1da54f84cadef1ffb71ea61a3dc49d8d870dd77
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