Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mminilm_l6_v2_english_msmarco_pipeline is a English model originally trained by unicamp-dl.
How to use
pipeline = PretrainedPipeline("mminilm_l6_v2_english_msmarco_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mminilm_l6_v2_english_msmarco_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mminilm_l6_v2_english_msmarco_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 338.6 MB |
References
https://huggingface.co/unicamp-dl/mMiniLM-L6-v2-en-msmarco
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification