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@@ -10,6 +10,42 @@ model-index:
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
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  probably proofread and complete it, then remove this comment. -->
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  # articleGeneratorV1.0
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
 
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
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  probably proofread and complete it, then remove this comment. -->
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+ # What does model do and how to use it
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+
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+ Just provide an title to the model and it will generate a whole article about it.
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+
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+ ```python
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+ # Install transformers library
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+ !pip install transformers
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+ ```
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+
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+ ```python
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+ # Load tokenizer and model
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+ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, TFAutoModelForSeq2SeqLM
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+ model_name = "Seungjun/articleGeneratorV1.0"
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+ tokenizer = AutoTokenizer.from_pretrained("t5-small")
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+ model = TFAutoModelForSeq2SeqLM.from_pretrained(model_name)
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+ ```
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+
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+ ```python
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+ # Get the article for a given title
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+ from transformers import pipeline
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+ summarizer = pipeline("summarization", model=model, tokenizer=tokenizer, framework="tf")
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+ summarizer(
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+ "Steve Jobs", # title
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+ min_length=500,
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+ max_length=1024,
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+ )
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+ ```
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+
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+ Result:
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+
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+
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+
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+ # Current limitation of the model
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+
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+ It generate aot of lies. 99% of the word generated by this model is not true.
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+
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  # articleGeneratorV1.0
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.