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--- |
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license: apache-2.0 |
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language: |
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- en |
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- pt |
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- es |
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- de |
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- it |
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library_name: transformers |
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tags: |
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- text-generation-inference |
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--- |
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T5ForConditionalGeneration files for the [Madlad-400](https://github.com/google-research/google-research/tree/master/madlad_400) 3B parameter MT model. |
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```python |
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from transformers import T5ForConditionalGeneration, T5Tokenizer, GenerationConfig |
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model = T5ForConditionalGeneration.from_pretrained("iliemihai/madlad400-3b-mt") |
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tokenizer = T5Tokenizer.from_pretrained("iliemihai/madlad400-3b-mt") |
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text = """The quick brown fox jumped over the laisy dog.""" |
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input_ids = tokenizer.encode(f"<2ro> {text} </s>", return_tensors="pt") |
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outputs = model.generate(input_ids, |
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do_sample=True, |
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early_stopping=True, |
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top_p=0.92, |
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top_k=50, |
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temperature=0.3, |
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max_length=256) |
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print(tokenizer.decode(outputs[0])) |
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``` |
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**KUDOS TO jbochi FOR RELEASING THE COLAB AND CONVERSION CODE |
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Colab to generate these files is [here](https://colab.research.google.com/drive/1rZ2NRyl2zwmg0sQ2Wi-uZZF48iVYulTC#scrollTo=pVODoE6gA9sw). |
