Spanish Bert Embeddings (from flax-community)

Description

Pretrained Bert Embeddings model, uploaded to Hugging Face, adapted and imported into Spark NLP. alberti-bert-base-multilingual-cased is a Spanish model orginally trained by flax-community.

Predicted Entities

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How to use

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

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

embeddings = BertEmbeddings.pretrained("bert_embeddings_alberti_bert_base_multilingual_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: bert_embeddings_alberti_bert_base_multilingual_cased
Compatibility: Spark NLP 5.0.0+
License: Open Source
Edition: Official
Input Labels: [sentence, token]
Output Labels: [bert]
Language: es
Size: 664.3 MB
Case sensitive: true