Instructions to use chainyo/alpaca-lora-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chainyo/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, "chainyo/alpaca-lora-7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab436c2711c020294d58300d364c81a689d304e2e3a98b7f488096f9e2b51aff
- Size of remote file:
- 16.8 MB
- SHA256:
- 92b395b5035f2bc0b9cbf943247654438209f6b4ab4c9556e369a59e2a6058a1
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