Instructions to use AIingit/GenerAd-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AIingit/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, "AIingit/GenerAd-AI") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from AIingit/GenerAd-AI: direct link, hf CLI and curl.
- Browser
- Download file 12.6 MB
-
https://huggingface.co/AIingit/GenerAd-AI/resolve/refs%2Fpr%2F1/adapter_model.bin
- Command line
-
hf download hf://AIingit/GenerAd-AI@refs/pr/1/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/AIingit/GenerAd-AI/resolve/refs%2Fpr%2F1/adapter_model.bin
12.6 MB
- Xet hash:
- c45173af197a079f86e3f1952f72a42dfbc6b37370e4a0007095577a688f229b
- Size of remote file:
- 12.6 MB
- SHA256:
- aaabea40729545699e17c0d706ca3954222a4831991f460855d3032412b26070
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.