Description
Pretrained DistilBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ft_distilbert_base_uncased_with_wnut17_v_0_pipeline is a English model originally trained by aisuko.
How to use
pipeline = PretrainedPipeline("ft_distilbert_base_uncased_with_wnut17_v_0_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ft_distilbert_base_uncased_with_wnut17_v_0_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ft_distilbert_base_uncased_with_wnut17_v_0_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 247.3 MB |
References
https://huggingface.co/aisuko/ft-distilbert-base-uncased-with-wnut17-v-0
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForTokenClassification