Helsinki-NLP/tatoeba
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This model Confused404/eng-gmq-finetuned_v2-no is a fine-tuned version of the Helsinki-NLP/opus-mt-en-gmq model on a combination of the following datasets:
The goal of this model is to improve English → Norwegian Bokmål (ISO 639-1: no) translation accuracy for both formal and informal domains, surpassing the baseline Helsinki-NLP general model.
from transformers import MarianMTModel, MarianTokenizer
model_name = "Confused404/eng-gmq-finetuned_v2-no"
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)
def translate(texts):
inputs = tokenizer(texts, return_tensors="pt", padding=True, truncation=True)
translated = model.generate(**inputs)
return [tokenizer.decode(t, skip_special_tokens=True) for t in translated]
translate(["Hello, how are you?", "This is a test sentence."])
Base model
Helsinki-NLP/opus-mt-tc-big-en-gmq