Instructions to use jeduardogruiz/Mixtral_ether with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use jeduardogruiz/Mixtral_ether with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("jeduardogruiz/Mixtral_ether", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download app.py from jeduardogruiz/Mixtral_ether: direct link, hf CLI and curl.
- Browser
- Download file 219 Bytes
-
https://huggingface.co/jeduardogruiz/Mixtral_ether/resolve/main/app.py
- Command line
-
hf download hf://jeduardogruiz/Mixtral_ether/app.py
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curl -L -o app.py https://huggingface.co/jeduardogruiz/Mixtral_ether/resolve/main/app.py
219 Bytes
| import gradio as gr | |
| def greet(name): | |
| return "Hello " + name + "!" | |
| demo = gr.Interface(fn=greet, inputs="textbox", outputs="textbox") | |
| demo.launch(share=True) # Share your demo with just 1 extra parameter 🚀 |