Update README.md
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README.md
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@@ -42,14 +42,16 @@ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("suriya7/Tamil-Summarization")
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model = AutoModelForSeq2SeqLM.from_pretrained("suriya7/Tamil-Summarization")
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input_text = "This is an example English sentence."
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input_ids = tokenizer.encode(input_text, return_tensors="pt").input_ids
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outputs = model.generate(input_ids,max_length=128)
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translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print("Translated Tamil Sentence:", translated_text)
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tamil_article = "தமிழ் உரையினை சுருக்கமாக சுருக்கமாக உரையிடுவது எப்படி?"
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tamil_input_ids = tokenizer.encode(tamil_article, return_tensors="pt",truncation=True).input_ids
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summary_ids = model.generate(tamil_input_ids, max_length=128)
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tokenizer = AutoTokenizer.from_pretrained("suriya7/Tamil-Summarization")
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model = AutoModelForSeq2SeqLM.from_pretrained("suriya7/Tamil-Summarization")
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# Example English-to-Tamil Translation:
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input_text = "This is an example English sentence."
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input_ids = tokenizer.encode(input_text, return_tensors="pt").input_ids
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outputs = model.generate(input_ids,max_length=128)
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translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print("Translated Tamil Sentence:", translated_text)
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# Example Tamil Summarization:
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tamil_article = "தமிழ் உரையினை சுருக்கமாக சுருக்கமாக உரையிடுவது எப்படி?"
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tamil_input_ids = tokenizer.encode(tamil_article, return_tensors="pt",truncation=True).input_ids
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summary_ids = model.generate(tamil_input_ids, max_length=128)
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