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  # Model description
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- This model is [t5-base](https://huggingface.co/t5-base) fine-tuned on the [190k Medium Articles](https://www.kaggle.com/datasets/fabiochiusano/medium-articles) dataset for predicting article tags using the article textual content as input. While usually formulated as a multi-label classification problem, this model deals with _tag generation_ as a text2text generation task (inspiration from https://hug [text2tags](gingface.co/efederici/text2tags)).
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  # How to use the model
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
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  # Model description
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+ This model is [t5-base](https://huggingface.co/t5-base) fine-tuned on the [190k Medium Articles](https://www.kaggle.com/datasets/fabiochiusano/medium-articles) dataset for predicting article tags using the article textual content as input. While usually formulated as a multi-label classification problem, this model deals with _tag generation_ as a text2text generation task (inspiration from [text2tags](https://huggingface.co/efederici/text2tags)).
 
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  # How to use the model
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM