Sundanese RoBERTa Embeddings (from w11wo)

Description

Pretrained RoBERTa Embeddings model, uploaded to Hugging Face, adapted and imported into Spark NLP. sundanese-roberta-base is a Sundanese model orginally trained by w11wo.

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How to use

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

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

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

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

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

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

Model Information

Model Name: roberta_embeddings_sundanese_roberta_base
Compatibility: Spark NLP 3.4.2+
License: Open Source
Edition: Official
Input Labels: [sentence, token]
Output Labels: [bert]
Language: su
Size: 468.5 MB
Case sensitive: true

References

  • https://huggingface.co/w11wo/sundanese-roberta-base
  • https://arxiv.org/abs/1907.11692
  • https://hf.co/datasets/oscar
  • https://hf.co/datasets/mc4
  • https://hf.co/datasets/cc100
  • https://su.wikipedia.org/
  • https://hf.co/w11wo/sundanese-roberta-base/tree/main
  • https://hf.co/w11wo/sundanese-roberta-base/tensorboard
  • https://w11wo.github.io/