How to get probabilities from MarianMT models?
Hey,

I try to use MarianMT models for distillation, but I didn't found way to get raw probabilities from model.

I use model as in examples:
```
from transformers import MarianMTModel, MarianTokenizer
class Translator:
    def __init__(self, src, dst):
        model_name = f'Helsinki-NLP/opus-mt-{src}-{dst}'
        self.tokenizer = MarianTokenizer.from_pretrained(model_name)
        self.model = MarianMTModel.from_pretrained(model_name)

    def __call__(self, text):
        if not isinstance(text, list):
            text = [text]
        preds = self.model.generate(**self.tokenizer.prepare_translation_batch(text))
        print(preds)
        translation = [self.tokenizer.decode(t, skip_special_tokens=True) for t in preds]
        return translation
```

How can I get translation and probs via Huggingface API?
Thanks in advance!
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