Helsinki-NLP/opus-mt-fi-bem

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Model: Helsinki-NLP/opus-mt-fi-bem

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Helsinki-NLP/opus-mt-fi-bem

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pytorch

Contributed by

Language Technology Research Group at the University of Helsinki university

1 team member · 1011 models

How to use this model directly from the 🤗/transformers library:

			
			tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fi-bem")
			
			model = AutoModelWithLMHead.from_pretrained("Helsinki-NLP/opus-mt-fi-bem")

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opus-mt-fi-bem

source languages: fi
target languages: bem
OPUS readme: fi-bem
dataset: opus
model: transformer-align
pre-processing: normalization + SentencePiece
download original weights: opus-2020-01-08.zip
test set translations: opus-2020-01-08.test.txt
test set scores: opus-2020-01-08.eval.txt

Benchmarks

testset	BLEU	chr-F
JW300.fi.bem	21.4	0.465

File name	Last modified	File size
README.md	Wed, 13 May 2020 12:38:49 GMT	775.0B
config.json	Thu, 07 May 2020 22:33:23 GMT	1.1KB
pytorch_model.bin	Wed, 29 Apr 2020 02:43:28 GMT	291.3MB
source.spm	Wed, 29 Apr 2020 02:43:38 GMT	861.7KB
target.spm	Wed, 29 Apr 2020 02:43:38 GMT	812.0KB
tokenizer_config.json	Wed, 29 Apr 2020 02:43:38 GMT	43.0B
vocab.json	Wed, 29 Apr 2020 02:43:38 GMT	1.4MB

Done