Description
Pretrained Bert Embeddings model, uploaded to Hugging Face, adapted and imported into Spark NLP. multi-dialect-bert-base-arabic is a Arabic model orginally trained by bashar-talafha.
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")
embeddings = BertEmbeddings.pretrained("bert_embeddings_multi_dialect_bert_base_arabic","ar") \
.setInputCols(["document", "token"]) \
.setOutputCol("embeddings")
pipeline = Pipeline(stages=[documentAssembler, tokenizer, embeddings])
data = spark.createDataFrame([["أنا أحب شرارة NLP"]]).toDF("text")
result = pipeline.fit(data).transform(data)
val documentAssembler = new DocumentAssembler()
.setInputCol("text")
.setOutputCol("document")
val tokenizer = new Tokenizer()
.setInputCols(Array("document"))
.setOutputCol("token")
val embeddings = BertEmbeddings.pretrained("bert_embeddings_multi_dialect_bert_base_arabic","ar")
.setInputCols(Array("document", "token"))
.setOutputCol("embeddings")
val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, embeddings))
val data = Seq("أنا أحب شرارة NLP").toDF("text")
val result = pipeline.fit(data).transform(data)
import nlu
nlu.load("ar.embed.multi_dialect_bert_base_arabic").predict("""أنا أحب شرارة NLP""")
Model Information
| Model Name: | bert_embeddings_multi_dialect_bert_base_arabic |
| Compatibility: | Spark NLP 3.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Input Labels: | [sentence, token] |
| Output Labels: | [bert] |
| Language: | ar |
| Size: | 414.4 MB |
| Case sensitive: | true |
References
- https://huggingface.co/bashar-talafha/multi-dialect-bert-base-arabic
- https://ai.mawdoo3.com/
- https://github.com/alisafaya/Arabic-BERT
- https://sites.google.com/view/nadi-shared-task
- https://github.com/mawdoo3/Multi-dialect-Arabic-BERT