--- library_name: "transformers.js" --- https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english with ONNX weights to be compatible with Transformers.js. Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).

transformers_js_py

from transformers_js import import_transformers_js import gradio as gr transformers = await import_transformers_js() pipeline = transformers.pipeline pipe = await pipeline('sentiment-analysis', 'osanseviero/distilbert-base-uncased-finetuned-quantized') async def classify(text): return await pipe(text) demo = gr.Interface(classify, "textbox", "json") demo.launch()