English T5ForConditionalGeneration Base Cased model (from nouamanetazi)

Description

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

Download Copy S3 URI

How to use

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

t5 = T5Transformer.pretrained("t5_cover_letter_base","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_cover_letter_base","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_cover_letter_base
Compatibility:	Spark NLP 4.3.0+
License:	Open Source
Edition:	Official
Input Labels:	[documents]
Output Labels:	[t5]
Language:	en
Size:	910.7 MB

References

https://huggingface.co/nouamanetazi/cover-letter-t5-base

PREVIOUSMultilingual T5ForConditionalGeneration Cased model (from qiaoyi)

NEXTEnglish T5ForConditionalGeneration Base Cased model (from mtreviso)