Instructions to use cbalaji/GenerAd-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cbalaji/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, "cbalaji/GenerAd-AI") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e80a21d3cb79186d8412281753e82c7a4f7c981c25298bd0ea00890cb5a2518
- Size of remote file:
- 12.6 MB
- SHA256:
- 1d1c97f18ccd83a2fd159a20822243071b53bd175221e6392d53b87c25b8ad85
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