Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.scenario_tcr_4_data_cl_cardiff_cl_only4_pipeline is a English model originally trained by haryoaw.
How to use
pipeline = PretrainedPipeline("scenario_tcr_4_data_cl_cardiff_cl_only4_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("scenario_tcr_4_data_cl_cardiff_cl_only4_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | scenario_tcr_4_data_cl_cardiff_cl_only4_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 835.7 MB |
References
https://huggingface.co/haryoaw/scenario-TCR-4_data-cl-cardiff_cl_only4
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification