Update README.md

README.md

@@ -33,8 +33,8 @@ You can use this model with Transformers *pipeline*.
 ```python
 from transformers import AutoTokenizer, pipeline
 from optimum.onnxruntime import ORTModelForSeq2SeqLM
-tokenizer = AutoTokenizer.from_pretrained("optimum/t5-small")
-model = ORTModelForSeq2SeqLM.from_pretrained("optimum/t5-small")
+tokenizer = AutoTokenizer.from_pretrained("echarlaix/t5-small-onnx")
+model = ORTModelForSeq2SeqLM.from_pretrained("echarlaix/t5-small-onnx")
 translator = pipeline("translation_en_to_fr", model=model, tokenizer=tokenizer)
 results = translator("My name is Eustache and I have a pet raccoon")
 print(results)