Southern Sotho RobertaForTokenClassification Large Cased model (from asahi417)

Description

Pretrained RobertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. tner-roberta-large-tweet-st is a Southern Sotho model originally trained by asahi417.

Predicted Entities

group, creative_work, person, event, corporation, location, product

Download Copy S3 URI

How to use

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

sentenceDetector = SentenceDetectorDLModel.pretrained("sentence_detector_dl", "xx")\
       .setInputCols(["document"])\
       .setOutputCol("sentence")

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

tokenClassifier = BertForTokenClassification.pretrained("roberta_ner_tner_roberta_large_tweet_st_asahi417","st") \
    .setInputCols(["sentence", "token"]) \
    .setOutputCol("ner")

pipeline = Pipeline(stages=[documentAssembler, sentenceDetector, tokenizer, tokenClassifier])

data = spark.createDataFrame([["Ke rata spark nlp"]]).toDF("text")

result = pipeline.fit(data).transform(data)

val documentAssembler = new DocumentAssembler() 
          .setInputCol("text") 
          .setOutputCol("document")

val sentenceDetector = SentenceDetectorDLModel.pretrained("sentence_detector_dl", "xx")
       .setInputCols(Array("document"))
       .setOutputCol("sentence")

val tokenizer = new Tokenizer() 
    .setInputCols(Array("sentence"))
    .setOutputCol("token")

val tokenClassifier = BertForTokenClassification.pretrained("roberta_ner_tner_roberta_large_tweet_st_asahi417","st") 
    .setInputCols(Array("sentence", "token")) 
    .setOutputCol("ner")

val pipeline = new Pipeline().setStages(Array(documentAssembler,sentenceDetector, tokenizer, tokenClassifier))

val data = Seq("Ke rata spark nlp").toDF("text")

val result = pipeline.fit(data).transform(data)

import nlu
nlu.load("st.ner.roberta.tweet.large.by_asahi417").predict("""Ke rata spark nlp""")

Model Information

Model Name:	roberta_ner_tner_roberta_large_tweet_st_asahi417
Compatibility:	Spark NLP 4.1.0+
License:	Open Source
Edition:	Official
Input Labels:	[document, token]
Output Labels:	[ner]
Language:	st
Size:	1.3 GB
Case sensitive:	true
Max sentence length:	128

References

https://huggingface.co/asahi417/tner-roberta-large-tweet-st

PREVIOUSSouthern Sotho RobertaForTokenClassification Large Cased model (from asahi417)

NEXTEnglish RobertaForTokenClassification Cased model (from mehari)