app.py

import streamlit as st
from fastT5 import export_and_get_onnx_model, get_onnx_model

model_name = "stas/mt5-tiny-random"
model = export_and_get_onnx_model(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
tokenized = tokenizer("Will this work?", return_tensors="pt")
tokens = model.generate(
  input_ids=tokenized["input_ids"],
  attention_mask=tokenized["attention_mask"],
)

st.write(tokenizer.decode(tokens.squeeze(), skip_special_tokens=True))