Description
Pretrained Bert Embeddings model, uploaded to Hugging Face, adapted and imported into Spark NLP. bert-base-arabertv02-twitter
is a Arabic model orginally trained by aubmindlab
.
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")
embeddings = BertEmbeddings.pretrained("bert_embeddings_bert_base_arabertv02_twitter","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_bert_base_arabertv02_twitter","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.bert_base_arabertv02_twitter").predict("""أنا أحب شرارة NLP""")
Model Information
Model Name: | bert_embeddings_bert_base_arabertv02_twitter |
Compatibility: | Spark NLP 3.4.2+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [sentence, token] |
Output Labels: | [bert] |
Language: | ar |
Size: | 507.9 MB |
Case sensitive: | true |
References
- https://huggingface.co/aubmindlab/bert-base-arabertv02-twitter
- https://github.com/google-research/bert
- https://arxiv.org/abs/2003.00104
- https://github.com/WissamAntoun/pydata_khobar_meetup
- https://sites.aub.edu.lb/mindlab/
- https://www.yakshof.com/#/
- https://www.behance.net/rahalhabib
- https://www.linkedin.com/in/wissam-antoun-622142b4/
- https://twitter.com/wissam_antoun
- https://github.com/WissamAntoun
- https://www.linkedin.com/in/fadybaly/
- https://twitter.com/fadybaly
- https://github.com/fadybaly