| | --- |
| | 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)) |
| | |
| | ``` |
| |
|
