Description
The recognize_entities_bert_noncontrib is a pretrained pipeline that we can use to process text with a simple pipeline that performs basic processing steps and recognizes entites. It performs most of the common text processing tasks on your dataframe
How to use
from sparknlp.pretrained import PretrainedPipeline
pipeline = PretrainedPipeline("recognize_entities_bert_noncontrib", "en", "clinical/models")
result = pipeline.annotate("""I love johnsnowlabs! """)
Model Information
| Model Name: | recognize_entities_bert_noncontrib |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.0.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 425.6 MB |
Included Models
- DocumentAssembler
- SentenceDetector
- TokenizerModel
- BertEmbeddings
- NerDLModel