New to Gradio? Start here: Getting Started
See the Release History
load 
gradio.load(name, ···)Description
Method that constructs a Blocks from a Hugging Face repo. Can accept model repos (if src is "models") or Space repos (if src is "spaces"). The input and output components are automatically loaded from the repo.
Example Usage
import gradio as gr
demo = gr.load("gradio/question-answering", src="spaces")
demo.launch()Initialization
| Parameter | Description |
|---|---|
name str required | the name of the model (e.g. "gpt2" or "facebook/bart-base") or space (e.g. "flax-community/spanish-gpt2"), can include the |
src str | None default: None | the source of the model: |
hf_token str | None default: None | optional access token for loading private Hugging Face Hub models or spaces. Find your token here: https://huggingface.co/settings/tokens. Warning: only provide this if you are loading a trusted private Space as it can be read by the Space you are loading. |
alias str | None default: None | optional string used as the name of the loaded model instead of the default name (only applies if loading a Space running Gradio 2.x) |