Instructions to use generadaidemo2/GenerAd-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use generadaidemo2/GenerAd-AI with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-1b7") model = PeftModel.from_pretrained(base_model, "generadaidemo2/GenerAd-AI") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e46c7f3077768bfb09ced3b2d2fe4284f60797d974eb2fa54533adee0246c8fd
- Size of remote file:
- 12.6 MB
- SHA256:
- cfa205ad3b726a04cbe4ec0c2954b1df3e72ce2e270d3b710652b0fb91bef778
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