Bangla BertForMaskedLM Base Cased model (from sagorsarker)

Description

Pretrained BertForMaskedLM model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. bangla-bert-base is a Bangla model originally trained by sagorsarker.

Live Demo Open in Colab Download Copy S3 URI

How to use

documentAssembler = DocumentAssembler() \
    .setInputCol("text") \
    .setOutputCol("document")

tokenizer = Tokenizer() \
    .setInputCols("document") \
    .setOutputCol("token")

bert_loaded = BertEmbeddings.pretrained("bert_embeddings_bangla_base","bn") \
    .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_bangla_base","bn")
    .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("bn.embed.bert.base").predict("""I love Spark NLP""")

Model Information

References

• https://huggingface.co/sagorsarker/bangla-bert-base
• https://github.com/sagorbrur/bangla-bert
• https://arxiv.org/abs/1810.04805
• https://github.com/google-research/bert
• https://oscar-corpus.com/
• https://dumps.wikimedia.org/bnwiki/latest/
• https://github.com/sagorbrur/bnlp
• https://github.com/sagorbrur/bangla-bert
• https://github.com/google-research/bert
• https://twitter.com/mapmeld
• https://github.com/rezacsedu/Classification_Benchmarks_Benglai_NLP
• https://github.com/sagorbrur/bangla-bert/blob/master/notebook/bangla-bert-evaluation-classification-task.ipynb
• https://github.com/sagorbrur/bangla-bert/tree/master/evaluations/wikiann
• https://arxiv.org/abs/2012.14353
• https://arxiv.org/abs/2104.08613
• https://arxiv.org/abs/2107.03844
• https://arxiv.org/abs/2101.00204
• https://github.com/sagorbrur
• https://www.tensorflow.org/tfrc
• https://github.com/google-research/bert