Description
Pretrained BertForMaskedLM model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. bert-base-arabic-camelbert-msa-quarter
is a Arabic model originally trained by CAMeL-Lab
.
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")
bert_loaded = BertEmbeddings.pretrained("bert_embeddings_base_arabic_camel_msa_quarter","ar") \
.setInputCols(["document", "token"]) \
.setOutputCol("embeddings") \
.setCaseSensitive(True)
pipeline = Pipeline(stages=[documentAssembler, tokenizer, bert_loaded])
data = spark.createDataFrame([["I love Spark NLP"]]).toDF("text")
result = pipeline.fit(data).transform(data)
val documentAssembler = new DocumentAssembler()
.setInputCol("text")
.setOutputCol("document")
val tokenizer = new Tokenizer()
.setInputCols("document")
.setOutputCol("token")
val bert_loaded = BertEmbeddings.pretrained("bert_embeddings_base_arabic_camel_msa_quarter","ar")
.setInputCols(Array("document", "token"))
.setOutputCol("embeddings")
.setCaseSensitive(True)
val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, bert_loaded))
val data = Seq("I love Spark NLP").toDS.toDF("text")
val result = pipeline.fit(data).transform(data)
import nlu
nlu.load("ar.embed.bert.base_msa_quarter.by_camel_lab").predict("""I love Spark NLP""")
Model Information
Model Name: | bert_embeddings_base_arabic_camel_msa_quarter |
Compatibility: | Spark NLP 4.2.4+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [sentence, token] |
Output Labels: | [bert] |
Language: | ar |
Size: | 409.1 MB |
Case sensitive: | true |
References
- https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-msa-quarter
- https://arxiv.org/abs/2103.06678
- https://github.com/CAMeL-Lab/CAMeLBERT
- https://catalog.ldc.upenn.edu/LDC2011T11
- http://www.abuelkhair.net/index.php/en/arabic/abu-el-khair-corpus
- https://vlo.clarin.eu/search;jsessionid=31066390B2C9E8C6304845BA79869AC1?1&q=osian
- https://archive.org/details/arwiki-20190201
- https://oscar-corpus.com/
- https://github.com/google-research/bert
- https://github.com/google-research/bert/blob/eedf5716ce1268e56f0a50264a88cafad334ac61/tokenization.py#L286-L297
- https://github.com/CAMeL-Lab/camel_tools
- https://github.com/CAMeL-Lab/CAMeLBERT