ashleyha
/ hf_helsinki-nlp_translation.py
Created
December 16, 2020 17:57
example using the huggingface transformers library with the Helsinki-NLP/opus-mt-ru-en model
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| from transformers import MarianTokenizer, AutoModelForSeq2SeqLM | |
| text = 'Рада познакомиться' | |
| mname = 'Helsinki-NLP/opus-mt-ru-en' | |
| tokenizer = MarianTokenizer.from_pretrained(mname) | |
| model = AutoModelForSeq2SeqLM.from_pretrained(mname) | |
| input_ids = tokenizer.encode(text, return_tensors="pt") | |
| outputs = model.generate(input_ids) | |
| decoded = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| print(decoded) #Nice to meet you |