Update README.md
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README.md
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@@ -24,9 +24,12 @@ model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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max_length = 100
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src_lang = 'eng_Latn'
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tgt_lang = 'deu_Latn'
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context_text = 'This is an optional context sentence.'
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sentence_text = 'Text to be translated.'
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input_text = f'{context_text} {tokenizer.sep_token} {sentence_text}'
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tokenizer.src_lang = src_lang
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inputs = tokenizer(input_text, return_tensors='pt').to(model.device)
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@@ -46,9 +49,13 @@ model_name = 'voxreality/src_ctx_aware_nllb_600M'
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translation_pipeline = pipeline("translation", model=model_name)
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src_lang = 'eng_Latn'
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tgt_lang = 'deu_Latn'
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context_text = 'This is an optional context sentence.'
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sentence_text = 'Text to be translated.'
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pipeline_output = translation_pipeline(input_texts, src_lang=src_lang, tgt_lang=tgt_lang)
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max_length = 100
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src_lang = 'eng_Latn'
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tgt_lang = 'deu_Latn'
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context_text = 'This is an optional context sentence.'
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sentence_text = 'Text to be translated.'
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# if the context is provided use the following:
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input_text = f'{context_text} {tokenizer.sep_token} {sentence_text}'
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# if no context is provided use the following:
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# input_text = sentence_text
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tokenizer.src_lang = src_lang
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inputs = tokenizer(input_text, return_tensors='pt').to(model.device)
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translation_pipeline = pipeline("translation", model=model_name)
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src_lang = 'eng_Latn'
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tgt_lang = 'deu_Latn'
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context_text = 'This is an optional context sentence.'
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sentence_text = 'Text to be translated.'
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# if the context is provided use the following:
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input_texts = [f'{context_text} {tokenizer.sep_token} {sentence_text}']
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# if no context is provided use the following:
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# input_texts = [sentence_text]
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pipeline_output = translation_pipeline(input_texts, src_lang=src_lang, tgt_lang=tgt_lang)
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