Update readme

README.md

@@ -7,6 +7,9 @@
 [![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
 [![Pylint](https://img.shields.io/badge/linting-pylint-yellowgreen)](https://github.com/pylint-dev/pylint)
 [![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)
+[![ONNX Model](https://img.shields.io/badge/model-ONNX-blue?logo=onnx&logoColor=white)](https://onnx.ai/)
+[![Hugging Face Spaces](https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-orange)](https://huggingface.co/spaces/ankandrew/fast-alpr)
+[![Documentation Status](https://img.shields.io/badge/docs-latest-brightgreen.svg)](https://ankandrew.github.io/fast-plate-ocr/)
 [![image](https://img.shields.io/pypi/l/fast-plate-ocr.svg)](https://pypi.python.org/pypi/fast-plate-ocr)
 
 ![Intro](https://raw.githubusercontent.com/ankandrew/fast-plate-ocr/4a7dd34c9803caada0dc50a33b59487b63dd4754/extra/demo.gif)
@@ -20,6 +23,9 @@ the trained models for inference.
 
 The idea is to use this after a plate object detector, since the OCR expects the cropped plates.
 
+> [!TIP]
+> Try `fast-plate-ocr` pre-trained models in [Hugging Spaces](https://huggingface.co/spaces/ankandrew/fast-alpr).
+
 ### Features
 
 - **Keras 3 Backend Support**: Compatible with **[TensorFlow](https://www.tensorflow.org/)**, **[JAX](https://github.com/google/jax)**, and **[PyTorch](https://pytorch.org/)** backends 🧠