Still outputs natural language. Example from their colab:

Input: I would like to translate from English to Chinese.

Output:

<<<domain>>>: Natural Language Processing Text2Text Generation

<<<api_call>>>: M2M100ForConditionalGeneration.from_pretrained('facebook/m2m100_1.2B')

<<<api_provider>>>: Hugging Face Transformers

<<<explanation>>>: 1. Import M2M100ForConditionalGeneration and M2M100Tokenizer from the transformers library.

2. Load the pre-trained M2M100 model and tokenizer using the from_pretrained() method. The model is trained to translate text from English to Chinese, among other languages.

3. Encode the input text in English using the tokenizer.

4. Generate the translation using the model.generate() method.

5. Decode the output tokens using the tokenizer to obtain the translated text in Chinese.

6. Print the translated text.