Update README.md
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README.md
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@@ -24,28 +24,36 @@ Rouge2= 16.292
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RougeL= 23.499
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## Intended uses & limitations
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More information needed
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To use its API:
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from transformers import BertTokenizerFast, GPT2Tokenizer, EncoderDecoderModel
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model = EncoderDecoderModel.from_pretrained("Ayham/roberta_gpt2_summarization_cnn_dailymail")
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input_tokenizer = BertTokenizerFast.from_pretrained('bert-base-cased')
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article = """Your Input Text"""
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input_ids = input_tokenizer(article, return_tensors="pt").input_ids
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output_ids = model.generate(input_ids)
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output_tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
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print(output_tokenizer.decode(output_ids[0], skip_special_tokens=True))
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More information needed
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## Training procedure
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### Training hyperparameters
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RougeL= 23.499
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## Intended uses & limitations
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To use its API:
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from transformers import BertTokenizerFast, GPT2Tokenizer, EncoderDecoderModel
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model = EncoderDecoderModel.from_pretrained("Ayham/roberta_gpt2_summarization_cnn_dailymail")
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input_tokenizer = BertTokenizerFast.from_pretrained('bert-base-cased')
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article = """Your Input Text"""
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input_ids = input_tokenizer(article, return_tensors="pt").input_ids
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output_ids = model.generate(input_ids)
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output_tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
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print(output_tokenizer.decode(output_ids[0], skip_special_tokens=True))
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More information needed
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More information needed
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## Training procedure
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### Training hyperparameters
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