Spanish DistilBERT Embeddings (from Geotrend)

Description

Pretrained DistilBERT Embeddings model, uploaded to Hugging Face, adapted and imported into Spark NLP. distilbert-base-es-cased is a Spanish model orginally trained by Geotrend.

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How to use

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

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

embeddings = DistilBertEmbeddings.pretrained("distilbert_embeddings_distilbert_base_es_cased","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)

Model Information

Model Name: distilbert_embeddings_distilbert_base_es_cased
Compatibility: Spark NLP 3.4.2+
License: Open Source
Edition: Official
Input Labels: [sentence, token]
Output Labels: [bert]
Language: es
Size: 237.0 MB
Case sensitive: true

References

  • https://huggingface.co/Geotrend/distilbert-base-es-cased
  • https://www.aclweb.org/anthology/2020.sustainlp-1.16.pdf
  • https://github.com/Geotrend-research/smaller-transformers