French CamembertForTokenClassification Cased model (from Jean-Baptiste)

Description

Pretrained CamembertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. camembert-ner-with-dates is a French model originally trained by Jean-Baptiste.

Predicted Entities

DATE, LOC, ORG, PER, MISC

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")

sequenceClassifier_loaded = CamemBertForTokenClassification.pretrained("camembert_classifier_ner_with_dates","fr") \
    .setInputCols(["sentence", "token"]) \
    .setOutputCol("ner")

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

data = spark.createDataFrame([["J'adore 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 sequenceClassifier_loaded = CamemBertForTokenClassification.pretrained("camembert_classifier_ner_with_dates","fr") 
    .setInputCols(Array("sentence", "token")) 
    .setOutputCol("ner")

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

val data = Seq("J'adore Spark NLP").toDF("text")

val result = pipeline.fit(data).transform(data)
import nlu
nlu.load("fr.ner.camembert.with_dates.by_jean_baptiste").predict("""J'adore Spark NLP""")

Model Information

Model Name: camembert_classifier_ner_with_dates
Compatibility: Spark NLP 4.2.0+
License: Open Source
Edition: Official
Input Labels: [document, token]
Output Labels: [class]
Language: fr
Size: 411.4 MB
Case sensitive: true
Max sentence length: 256

References

  • https://huggingface.co/Jean-Baptiste/camembert-ner-with-dates
  • https://dateparser.readthedocs.io/en/latest/