Instructions to use stillerman/instruct-aurora-alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stillerman/instruct-aurora-alpaca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("aurora-m/aurora-m-v0.1-biden-harris-redteamed") model = PeftModel.from_pretrained(base_model, "stillerman/instruct-aurora-alpaca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 777503a6dd5276f4324c3720723be015041fbd2a2c8600f72e3f9c5fff7e3633
- Size of remote file:
- 1.43 GB
- SHA256:
- 6324ab47a2f7814ff081bce00c97940e32d8c8d150c92d10bae06c3b9b8a26ae
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