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README.md
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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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Just provide an title to the model and it will generate a whole article about it.
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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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```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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```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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Result:
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# Current limitation of the model
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It generate aot of lies. 99% of the word generated by this model is not true.
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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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