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- .gitattributes +3 -0
- README.md +46 -0
- config.json +3 -0
- events.out.tfevents.1625761047.t1v-n-55481057-w-0.27349.3.v2 +3 -0
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.gitattributes
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@@ -25,3 +25,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language: no
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license: CC-BY 4.0
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tags:
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- translation
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datasets:
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- oscar
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widget:
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- text: "Skriv inn en tekst som du ønsker å oversette til en annen målform."
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---
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# Norwegian mT5 - Translation Bokmål Nynorsk - Development
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## Description
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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.
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Here is an example of how to use the model from Python
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```python
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# Import libraries
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from transformers import T5ForConditionalGeneration, AutoTokenizer
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model = T5ForConditionalGeneration.from_pretrained('pere/nb-nn-dev',from_flax=True)
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tokenizer = AutoTokenizer.from_pretrained('pere/nb-nn-dev')
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#Encode the text
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text = "Hun vil ikke gi bort sine personlige data."
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inputs = tokenizer.encode(text, return_tensors="pt")
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outputs = model.generate(inputs, max_length=255, num_beams=4, early_stopping=True)
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#Decode and print the result
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print(tokenizer.decode(outputs[0]))
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```
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Or if you like to use the pipeline instead
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```python
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# Set up the pipeline
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from transformers import pipeline
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translator = pipeline("translation", model='pere/nb-nn-dev')
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# Do the translation
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text = "Hun vil ikke gi bort sine personlige data."
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print(translator(text, max_length=255))
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```
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