Description
GPT-2 displays a broad set of capabilities, including the ability to generate conditional synthetic text samples of unprecedented quality, where the model is primed with an input and it generates a lengthy continuation. This is the Base model. Other models (medium, large) are also available in Models Hub.
Predicted Entities
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("documents")
gpt2 = GPT2Transformer.pretrained("gpt2") \
.setInputCols(["documents"]) \
.setMaxOutputLength(50) \\
.setOutputCol("generation")
pipeline = Pipeline().setStages([documentAssembler, gpt2])
data = spark.createDataFrame([["My name is Leonardo."]]).toDF("text")
result = pipeline.fit(data).transform(data)
result.select("summaries.generation").show(truncate=False)
val documentAssembler = new DocumentAssembler()
.setInputCol("text")
.setOutputCol("documents")
val gpt2 = GPT2Transformer.pretrained("gpt2")
.setInputCols(Array("documents"))
.setMinOutputLength(10)
.setMaxOutputLength(50)
.setDoSample(false)
.setTopK(50)
.setNoRepeatNgramSize(3)
.setOutputCol("generation")
val pipeline = new Pipeline().setStages(Array(documentAssembler, gpt2))
val data = Seq("My name is Leonardo.").toDF("text")
val result = pipeline.fit(data).transform(data)
results.select("generation.result").show(truncate = false)
import nlu
nlu.load("en.gpt2").predict("""My name is Leonardo.""")
Results
+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|result |
+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|[ My name is Leonardo. I am a man of letters. I have been a man for many years. I was born in the year 1776. I came to the |
| United States in 1776, and I have lived in the United Kingdom since 1776] |
+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
Model Information
| Model Name: | gpt2 |
| Compatibility: | Spark NLP 3.4.0+ |
| License: | Open Source |
| Edition: | Official |
| Input Labels: | [documents] |
| Output Labels: | [generation] |
| Language: | en |
Data Source
OpenAI WebText - a corpus created by scraping web pages with emphasis on document quality. It consists of over 8 million documents for a total of 40 GB of text. All Wikipedia documents were removed from WebText.