Description
Pretrained MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.downsampled_tonga_tonga_islands_100_with_greeting_big_pipeline is a English model originally trained by omarelsayeed.
How to use
pipeline = PretrainedPipeline("downsampled_tonga_tonga_islands_100_with_greeting_big_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("downsampled_tonga_tonga_islands_100_with_greeting_big_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | downsampled_tonga_tonga_islands_100_with_greeting_big_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 397.3 MB |
References
https://huggingface.co/omarelsayeed/Downsampled_to_100_with_greeting_big
Included Models
- DocumentAssembler
- TokenizerModel
- MPNetForSequenceClassification