Create Readme.md

Readme.md

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+Simple way to use the model
+
+<code>
+model_name = "sanjeev498/en-to-romanian"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+model = model.half()
+model.to("cuda")
+
+sentences = ["This is a test"]
+
+inputs = tokenizer(sentences, padding=True, return_tensors="pt").to("cuda")
+translated_tokens = model.generate(
+**inputs
+)
+translations = tokenizer.batch_decode(translated_tokens, skip_special_tokens=True)
+</code>