Italian DistilBERT Embeddings

Description

Pretrained DistilBERT Embeddings model, uploaded to Hugging Face, adapted and imported into Spark NLP. BERTino is a Italian model orginally trained by indigo-ai.

Live Demo Open in Colab Download Copy S3 URI

How to use

documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")

tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")

embeddings = DistilBertEmbeddings.pretrained("distilbert_embeddings_BERTino","it") \
.setInputCols(["document", "token"]) \
.setOutputCol("embeddings")

pipeline = Pipeline(stages=[documentAssembler, tokenizer, embeddings])

data = spark.createDataFrame([["Adoro Spark NLP"]]).toDF("text")

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

val documentAssembler = new DocumentAssembler() 
.setInputCol("text") 
.setOutputCol("document")

val tokenizer = new Tokenizer() 
.setInputCols(Array("document"))
.setOutputCol("token")

val embeddings = DistilBertEmbeddings.pretrained("distilbert_embeddings_BERTino","it") 
.setInputCols(Array("document", "token")) 
.setOutputCol("embeddings")

val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, embeddings))

val data = Seq("Adoro Spark NLP").toDF("text")

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

import nlu
nlu.load("it.embed.BERTino").predict("""Adoro Spark NLP""")

Model Information

References

• https://huggingface.co/indigo-ai/BERTino
• https://indigo.ai/en/
• https://www.corpusitaliano.it/
• https://corpora.dipintra.it/public/run.cgi/corp_info?corpname=itwac_full
• https://universaldependencies.org/treebanks/it_partut/index.html
• https://universaldependencies.org/treebanks/it_isdt/index.html
• https://figshare.com/articles/Learning_multilingual_named_entity_recognition_from_Wikipedia/5462500