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

pytorch

tf

Contributed by

Language Technology Research Group at the University of Helsinki university
1 team member · 1323 models

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

			
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			from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

			tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fi-bem")
			
			model = AutoModelForSeq2SeqLM.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, 21 Aug 2020 14:42:43 GMT 804.0B
config.json Wed, 19 Aug 2020 00:43:37 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, 19 Aug 2020 00:43:37 GMT 43.0B
vocab.json Wed, 19 Aug 2020 00:43:37 GMT 1.4MB
Done