| language: no | |
| license: cc-by-4.0 | |
| tags: | |
| - translation | |
| datasets: | |
| - oscar | |
| widget: | |
| - text: Skriv inn en tekst som du ønsker å oversette til en annen målform. | |
| # Norwegian T5 - Translation Bokmål Nynorsk - Development | |
| ## Description | |
| This is the development version of the Bokmål-Nynorsk translator. If you want something that is stable, Please do run [this version](https://huggingface.co/pere/nb-nn-translation/) instead. | |
| Here is an example of how to use the model from Python | |
| ```python | |
| # Import libraries | |
| from transformers import T5ForConditionalGeneration, AutoTokenizer | |
| model = T5ForConditionalGeneration.from_pretrained('pere/nb-nn-dev',from_flax=True) | |
| tokenizer = AutoTokenizer.from_pretrained('pere/nb-nn-dev') | |
| #Encode the text | |
| text = "Hun vil ikke gi bort sine personlige data." | |
| inputs = tokenizer.encode(text, return_tensors="pt") | |
| outputs = model.generate(inputs, max_length=255, num_beams=4, early_stopping=True) | |
| #Decode and print the result | |
| print(tokenizer.decode(outputs[0])) | |
| ``` | |
| Or if you like to use the pipeline instead | |
| ```python | |
| # Set up the pipeline | |
| from transformers import pipeline | |
| translator = pipeline("translation", model='pere/nb-nn-dev') | |
| # Do the translation | |
| text = "Hun vil ikke gi bort sine personlige data." | |
| print(translator(text, max_length=255)) | |
| ``` | |