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  license: apache-2.0
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  language:
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  - en
 
 
 
 
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  library_name: transformers
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  tags:
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  - text-generation-inference
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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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- **This is a WIP. I'm able to load and run the model, but output is nonsensical.**
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- Colab to generate these files is [here](https://colab.research.google.com/drive/1rZ2NRyl2zwmg0sQ2Wi-uZZF48iVYulTC#scrollTo=pVODoE6gA9sw).
 
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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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  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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+
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+ tokenizer = T5Tokenizer.from_pretrained('./madlad400-3b-mt')
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+
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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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+
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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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+
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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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+
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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).