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Model: Helsinki-NLP/opus-mt-sn-fr
pytorch marian seq2seq lm-head sn fr translation
translation mask_token:
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Helsinki-NLP/opus-mt-sn-fr Helsinki-NLP/opus-mt-sn-fr
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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-sn-fr")
			
			model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-sn-fr")
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opus-mt-sn-fr

Benchmarks

testset BLEU chr-F
JW300.sn.fr 30.8 0.491
List of model files
File name Last modified File size
README.md Fri, 21 Aug 2020 14:42:49 GMT 796.0B
config.json Tue, 18 Aug 2020 01:50:53 GMT 1.1KB
pytorch_model.bin Wed, 29 Apr 2020 13:48:05 GMT 291.2MB
source.spm Wed, 29 Apr 2020 13:48:19 GMT 814.0KB
target.spm Wed, 29 Apr 2020 13:48:19 GMT 825.3KB
tokenizer_config.json Tue, 18 Aug 2020 01:50:53 GMT 42.0B
vocab.json Tue, 18 Aug 2020 01:50:53 GMT 1.4MB
Done