Create README.md

README.md

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+---
+license: mpl-2.0
+language:
+- vi
+- zh
+pipeline_tag: translation
+---
+
+## How to run:
+
+```python
+import torch
+import time
+from transformers import AutoTokenizer, pipeline
+from optimum.onnxruntime import ORTModelForSeq2SeqLM
+
+model = ORTModelForSeq2SeqLM.from_pretrained("chi-vi/hirashiba-mt-tiny-zh-vi-onnx")
+tokenizer = AutoTokenizer.from_pretrained("chi-vi/hirashiba-mt-tiny-zh-vi-onnx")
+
+with open("test.txt") as f:
+  text = f.readlines()
+
+start_time = time.time()
+
+pipe = pipeline("translation", model=model, tokenizer=tokenizer, device=0)
+result = pipe(text)
+print(result)
+
+print("--- %s seconds ---" % (time.time() - start_time))
+```