Description
Pretrained CamembertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. das22-41-camembert_pretrained_finetuned_ref is a English model originally trained by HueyNemud.
Predicted Entities
TITRE, MISC, ACT, FT, LOC, ORG, PER, CARDINAL
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_das22_41_pretrained_finetuned_ref","en") \
.setInputCols(["sentence", "token"]) \
.setOutputCol("ner")
pipeline = Pipeline(stages=[documentAssembler,sentenceDetector,tokenizer,sequenceClassifier_loaded])
data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).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_das22_41_pretrained_finetuned_ref","en")
.setInputCols(Array("sentence", "token"))
.setOutputCol("ner")
val pipeline = new Pipeline().setStages(Array(documentAssembler,sentenceDetector,tokenizer,sequenceClassifier_loaded))
val data = Seq("PUT YOUR STRING HERE").toDF("text")
val result = pipeline.fit(data).transform(data)
import nlu
nlu.load("en.ner.camembert.finetuned").predict("""PUT YOUR STRING HERE""")
Model Information
| Model Name: | camembert_classifier_das22_41_pretrained_finetuned_ref |
| Compatibility: | Spark NLP 4.2.0+ |
| License: | Open Source |
| Edition: | Official |
| Input Labels: | [document, token] |
| Output Labels: | [class] |
| Language: | en |
| Size: | 413.4 MB |
| Case sensitive: | true |
| Max sentence length: | 256 |
References
- https://huggingface.co/HueyNemud/das22-41-camembert_pretrained_finetuned_ref
- https://doi.org/10.1007/978-3-031-06555-2_30
- https://github.com/soduco/paper-ner-bench-das22