Instructions to use NbAiLab/nb-alpaca-lora-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NbAiLab/nb-alpaca-lora-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("decapoda-research/llama-7b-hf") model = PeftModel.from_pretrained(base_model, "NbAiLab/nb-alpaca-lora-7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb2f3da8e5b2ea14aca203bbd1878c9206179eb0fe1270e3d82bd952d767fd94
- Size of remote file:
- 16.8 MB
- SHA256:
- 013bd82a9a0cb574fd7491687d86a9af096a7fa597499d7d32cadb11a69a3afa
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