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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('jbochi/madlad400-3b-mt') |
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tokenizer = T5Tokenizer.from_pretrained('jbochi/madlad400-3b-mt') |
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text = "<2es> how do you say torch in portuguese?" |
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input_ids = tokenizer(text, return_tensors="pt").input_ids |
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outputs = model.generate( |
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input_ids=input_ids, |
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generation_config=GenerationConfig( |
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decoder_start_token_id=2, |
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)) |
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tokenizer.decode(outputs[0], skip_special_tokens=True) |
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# como se dice antorcha en portugués? |
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``` |
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Colab to generate these files is [here](https://colab.research.google.com/drive/1rZ2NRyl2zwmg0sQ2Wi-uZZF48iVYulTC#scrollTo=pVODoE6gA9sw). |
