English T5ForConditionalGeneration Base Cased model (from mrm8488)

Description

Pretrained T5ForConditionalGeneration model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. t5-base-finetuned-summarize-news is a English model originally trained by mrm8488.

Live Demo Open in Colab Download Copy S3 URI

How to use

documentAssembler = DocumentAssembler() \
    .setInputCols("text") \
    .setOutputCols("document")

t5 = T5Transformer.pretrained("t5_base_finetuned_summarize_news","en") \
    .setInputCols("document") \
    .setOutputCol("answers")
    
pipeline = Pipeline(stages=[documentAssembler, t5])

data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")

result = pipeline.fit(data).transform(data)

val documentAssembler = new DocumentAssembler() 
      .setInputCols("text")
      .setOutputCols("document")
       
val t5 = T5Transformer.pretrained("t5_base_finetuned_summarize_news","en") 
    .setInputCols("document")
    .setOutputCol("answers")
   
val pipeline = new Pipeline().setStages(Array(documentAssembler, t5))

val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")

val result = pipeline.fit(data).transform(data)

Model Information

References

• https://huggingface.co/mrm8488/t5-base-finetuned-summarize-news
• https://github.com/abhimishra91
• https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html
• https://www.kaggle.com/sunnysai12345/news-summary
• https://arxiv.org/pdf/1910.10683.pdf
• https://i.imgur.com/jVFMMWR.png
• https://www.kaggle.com/sunnysai12345/news-summary
• https://github.com/abhimishra91/transformers-tutorials/blob/master/transformers_summarization_wandb.ipynb
• https://github.com/abhimishra91
• https://twitter.com/mrm8488
• https://www.linkedin.com/in/manuel-romero-cs/