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README.md
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@@ -59,7 +59,7 @@ Use the code below to get started with the model. Note that the input must be **
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tokenizer = transformers.AutoTokenizer.from_pretrained("ufal/byt5-base-geccc-mate")
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model = transformers.AutoModelForSeq2SeqLM.from_pretrained("ufal/byt5-base-geccc-mate")
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batch = tokenizer(["Sveřepý šakali zavile vyly na býlí mesýc .", return_tensors="pt")
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outputs = model.generate(batch.input_ids, max_length=256, num_beams=4)
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print(tokenizer.batch_decode(outputs, skip_special_tokens=True))
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tokenizer = transformers.AutoTokenizer.from_pretrained("ufal/byt5-base-geccc-mate")
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model = transformers.AutoModelForSeq2SeqLM.from_pretrained("ufal/byt5-base-geccc-mate")
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batch = tokenizer(["Sveřepý šakali zavile vyly na býlí mesýc ."], return_tensors="pt")
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outputs = model.generate(batch.input_ids, max_length=256, num_beams=4)
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print(tokenizer.batch_decode(outputs, skip_special_tokens=True))
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