Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.autonlp_ingredient_sentiment_analysis_19126711_pipeline is a English model originally trained by testing.
How to use
pipeline = PretrainedPipeline("autonlp_ingredient_sentiment_analysis_19126711_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("autonlp_ingredient_sentiment_analysis_19126711_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | autonlp_ingredient_sentiment_analysis_19126711_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.3 GB |
References
https://huggingface.co/testing/autonlp-ingredient_sentiment_analysis-19126711
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification