Description
Pretrained RoBERTa Embeddings model, uploaded to Hugging Face, adapted and imported into Spark NLP. roberta-base-indonesian-522M is a Indonesian model orginally trained by cahya.
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")
embeddings = RoBertaEmbeddings.pretrained("roberta_embeddings_roberta_base_indonesian_522M","id") \
.setInputCols(["document", "token"]) \
.setOutputCol("embeddings")
pipeline = Pipeline(stages=[documentAssembler, tokenizer, embeddings])
data = spark.createDataFrame([["Saya suka percikan NLP"]]).toDF("text")
result = pipeline.fit(data).transform(data)
Model Information
| Model Name: | roberta_embeddings_roberta_base_indonesian_522M |
| Compatibility: | Spark NLP 3.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Input Labels: | [sentence, token] |
| Output Labels: | [bert] |
| Language: | id |
| Size: | 473.6 MB |
| Case sensitive: | true |
References
- https://huggingface.co/cahya/roberta-base-indonesian-522M
- https://github.com/cahya-wirawan/indonesian-language-models/tree/master/Transformers