Description
Pretrained DistilBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.token_classification_66m_v0_1_pipeline is a English model originally trained by jwt2706.
How to use
pipeline = PretrainedPipeline("token_classification_66m_v0_1_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("token_classification_66m_v0_1_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | token_classification_66m_v0_1_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 247.3 MB |
References
https://huggingface.co/jwt2706/token-classification-66M-v0.1
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForTokenClassification