Description
Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_bert_base_spanish_wwm_cased_finetuned_tweets_pipeline is a Castilian, Spanish model originally trained by mariav.
How to use
pipeline = PretrainedPipeline("sent_bert_base_spanish_wwm_cased_finetuned_tweets_pipeline", lang = "es")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_bert_base_spanish_wwm_cased_finetuned_tweets_pipeline", lang = "es")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_bert_base_spanish_wwm_cased_finetuned_tweets_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | es |
| Size: | 410.0 MB |
References
https://huggingface.co/mariav/bert-base-spanish-wwm-cased-finetuned-tweets
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- BertSentenceEmbeddings