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---
license: apache-2.0
pipeline_tag: translation
inference: false
---
Quantization of [madlad400-3b-mt](https://huggingface.co/google/madlad400-3b-mt) using [Ctranslate2](https://github.com/OpenNMT/CTranslate2) for running on CPU.
Example usage:
```python
import ctranslate2, transformers
from huggingface_hub import snapshot_download
model_path = snapshot_download("zenoverflow/madlad400-3b-mt-int8-float32")
print("\n", end="")
translator = ctranslate2.Translator(model_path, device="cpu")
tokenizer = transformers.T5Tokenizer.from_pretrained(model_path)
target_lang_code = "ja"
source_text = "This sentence has no meaning."
input_text = f"<2{target_lang_code}> {source_text}"
input_tokens = tokenizer.convert_ids_to_tokens(tokenizer.encode(input_text))
results = translator.translate_batch([input_tokens])
output_tokens = results[0].hypotheses[0]
output_text = tokenizer.decode(tokenizer.convert_tokens_to_ids(output_tokens))
print(output_text)
``` |