Spanish RoBERTa Embeddings (from mrm8488)

Description

Pretrained RoBERTa Embeddings model, uploaded to Hugging Face, adapted and imported into Spark NLP. RuPERTa-base is a Spanish model orginally trained by mrm8488.

Live Demo Open in Colab Download Copy S3 URICopied!

How to use

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

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

embeddings = RoBertaEmbeddings.pretrained("roberta_embeddings_RuPERTa_base","es") \
.setInputCols(["document", "token"]) \
.setOutputCol("embeddings")

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

data = spark.createDataFrame([["Me encanta chispa 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 = RoBertaEmbeddings.pretrained("roberta_embeddings_RuPERTa_base","es") 
.setInputCols(Array("document", "token")) 
.setOutputCol("embeddings")

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

val data = Seq("Me encanta chispa nlp").toDF("text")

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

import nlu
nlu.load("es.embed.RuPERTa_base").predict("""Me encanta chispa nlp""")

Model Information

References

• https://huggingface.co/mrm8488/RuPERTa-base
• https://github.com/pytorch/fairseq/tree/master/examples/roberta
• https://github.com/josecannete/spanish-corpora
• https://colab.research.google.com/github/mrm8488/shared_colab_notebooks/blob/master/RuPERTa_base_finetuned_POS.ipynb
• https://www.tensorflow.org/tfrc
• https://twitter.com/mrm8488