Update README.md

README.md

@@ -103,6 +103,27 @@ The intent is to create a text2text language model that successfully completes "
 
 Compare some of the heavier-error examples on [other grammar correction models](https://huggingface.co/models?dataset=dataset:jfleg) to see the difference :)
 
+### ONNX Checkpoint
+
+This model has been converted to ONNX and can be loaded/used with huggingface's `optimum` library.
+
+You first need to [install optimum](https://huggingface.co/docs/optimum/installation)
+
+```bash
+pip install optimum[onnxruntime]
+# ^ if you want to use a different runtime read their docs
+```
+load with the optimum `pipeline`
+
+```python
+from optimum.pipelines import pipeline
+
+corrector = pipeline(
+    "text2text-generation", model=corrector_model_name, accelerator="ort"
+)
+# use as normal
+```
+
 ### Other checkpoints
 
 If trading a slight decrease in grammatical correction quality for faster inference speed makes sense for your use case, check out the **[base](https://huggingface.co/pszemraj/grammar-synthesis-base)** and **[small](https://huggingface.co/pszemraj/grammar-synthesis-small)** checkpoints fine-tuned from the relevant t5 checkpoints.