Description
Pretrained Named Entity Recognition model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. xlm-roberta-base-finetuned-ner-hausa is a Hausa model orginally trained by mbeukman.
Predicted Entities
PER, ORG, LOC, DATE
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 = XlmRoBertaForTokenClassification.pretrained("xlmroberta_ner_xlm_roberta_base_finetuned_ner_hausa","ha") \
.setInputCols(["sentence", "token"]) \
.setOutputCol("pos")
pipeline = Pipeline(stages=[documentAssembler, sentenceDetector, tokenizer, tokenClassifier])
data = spark.createDataFrame([["Ina son 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 = XlmRoBertaForTokenClassification.pretrained("xlmroberta_ner_xlm_roberta_base_finetuned_ner_hausa","ha")
.setInputCols(Array("sentence", "token"))
.setOutputCol("pos")
val pipeline = new Pipeline().setStages(Array(documentAssembler,sentenceDetector, tokenizer, tokenClassifier))
val data = Seq("Ina son Spark NLP").toDF("text")
val result = pipeline.fit(data).transform(data)
import nlu
nlu.load("ha.ner.xlmr_roberta.base_finetuned_hausa.by_mbeukman").predict("""Ina son Spark NLP""")
Model Information
| Model Name: | xlmroberta_ner_xlm_roberta_base_finetuned_ner_hausa |
| Compatibility: | Spark NLP 5.4.0+ |
| License: | Open Source |
| Edition: | Official |
| Input Labels: | [document, token] |
| Output Labels: | [ner] |
| Language: | ha |
| Size: | 774.7 MB |
References
References
- https://huggingface.co/mbeukman/xlm-roberta-base-finetuned-ner-hausa
- https://arxiv.org/abs/2103.11811
- https://github.com/Michael-Beukman/NERTransfer
- https://www.apache.org/licenses/LICENSE-2.0
- https://github.com/Michael-Beukman/NERTransfer
- htt