English T5ForConditionalGeneration Cased model (from ybagoury)

Description

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

Download Copy S3 URI

How to use

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

t5 = T5Transformer.pretrained("t5_flan_base_tldr_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_flan_base_tldr_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

Model Name: t5_flan_base_tldr_news
Compatibility: Spark NLP 4.3.0+
License: Open Source
Edition: Official
Input Labels: [documents]
Output Labels: [t5]
Language: en
Size: 1.0 GB

References

https://huggingface.co/ybagoury/flan-t5-base-tldr_news