Description
This is a text-to-text model based on T5 fine-tuned to generate passively written text from a actively written text input, for the task “transfer Passive to Active:”. It is based on Prithiviraj Damodaran’s Styleformer.
Predicted Entities
Live Demo Open in Colab Download Copy S3 URI
How to use
import sparknlp
from sparknlp.base import *
from sparknlp.annotator import *
spark = sparknlp.start()
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("documents")
t5 = T5Transformer.pretrained("t5_passive_to_active_styletransfer") \
.setTask("transfer Passive to Active:") \
.setInputCols(["documents"]) \
.setMaxOutputLength(200) \
.setOutputCol("transfers")
pipeline = Pipeline().setStages([documentAssembler, t5])
data = spark.createDataFrame([["A letter was sent to you."]]).toDF("text")
result = pipeline.fit(data).transform(data)
result.select("transfers.result").show(truncate=False)
import spark.implicits._
import com.johnsnowlabs.nlp.base.DocumentAssembler
import com.johnsnowlabs.nlp.annotators.seq2seq.T5Transformer
import org.apache.spark.ml.Pipeline
val documentAssembler = new DocumentAssembler()
.setInputCol("text")
.setOutputCol("documents")
val t5 = T5Transformer.pretrained("t5_passive_to_active_styletransfer")
.setTask("transfer Passive to Active:")
.setMaxOutputLength(200)
.setInputCols("documents")
.setOutputCol("transfer")
val pipeline = new Pipeline().setStages(Array(documentAssembler, t5))
val data = Seq("A letter was sent to you.").toDF("text")
val result = pipeline.fit(data).transform(data)
result.select("transfer.result").show(false)
import nlu
nlu.load("en.t5.passive_to_active_styletransfer").predict("""transfer Passive to Active:""")
Results
+-------------------+
|result |
+-------------------+
|[you sent a letter]|
+-------------------+
Model Information
Model Name: | t5_passive_to_active_styletransfer |
Compatibility: | Spark NLP 3.4.0+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [documents] |
Output Labels: | [transfers] |
Language: | en |
Size: | 265.0 MB |
Data Source
The original model is from the transformers library:
https://huggingface.co/prithivida/passive_to_active_styletransfer