Instructions to use ashishkat/adalora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ashishkat/adalora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "ashishkat/adalora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7794daaa8c6034d88df2e5c489a8a2965659b08a627a4e554fd80b6f6d2f7aa8
- Size of remote file:
- 67.2 MB
- SHA256:
- 6c18a3f7162c4f4cb29fb5c8e3290d196389c4ede835f353b1ac262d8864e8db
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