marian-nmt's transformer.h (c++). Designed for the OPUS-NMT translation checkpoints. Available
        models are listed [here](https://huggingface.co/models?search=Helsinki-NLP).

        Examples:

        ```python
        >>> from transformers import AutoTokenizer, TFMarianMTModel
        >>> from typing import List

        >>> src = "fr"  # source language
        >>> trg = "en"  # target language
        >>> sample_text = "où est l'arrêt de bus ?"
        >>> model_name = f"Helsinki-NLP/opus-mt-{src}-{trg}"

        >>> model = TFMarianMTModel.from_pretrained(model_name)
        >>> tokenizer = AutoTokenizer.from_pretrained(model_name)
        >>> batch = tokenizer([sample_text], return_tensors="tf")
        >>> gen = model.generate(**batch)
        >>> tokenizer.batch_decode(gen, skip_special_tokens=True)
        "Where is the bus stop ?"
        ```
aA