Instructions to use AIfenaike/Ad_Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AIfenaike/Ad_Generator with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-3b") model = PeftModel.from_pretrained(base_model, "AIfenaike/Ad_Generator") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from AIfenaike/Ad_Generator: direct link, hf CLI and curl.
- Browser
- Download file 19.7 MB
-
https://huggingface.co/AIfenaike/Ad_Generator/resolve/main/adapter_model.bin
- Command line
-
hf download hf://AIfenaike/Ad_Generator/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/AIfenaike/Ad_Generator/resolve/main/adapter_model.bin
19.7 MB
- Xet hash:
- 5478e9ed9cdc4614454c048054d3de73cb96585b11a43e3b9356499cfe283c5f
- Size of remote file:
- 19.7 MB
- SHA256:
- df74fd40b0f3f856ffa54991b88b2e49c01062950db3629486b586301170e9db
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