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Model: Helsinki-NLP/opus-mt-fi-bem
pytorch marian lm-head seq2seq fi bem translation
translation mask_token:
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Helsinki-NLP/opus-mt-fi-bem Helsinki-NLP/opus-mt-fi-bem
19 downloads
last 30 days

pytorch

tf

Contributed by

Language Technology Research Group at the University of Helsinki university
1 team member · 1405 models

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

			
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			from transformers import AutoTokenizer, AutoModelWithLMHead

			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

Benchmarks

testset BLEU chr-F
JW300.fi.bem 21.4 0.465
List of model files
File name Last modified File size
README.md Fri, 12 Jun 2020 13:21:16 GMT 804.0B
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