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
.
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/