Description
Pretrained CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.umberto_commoncrawl_cased_v1_pipeline is a Italian model originally trained by Musixmatch.
How to use
pipeline = PretrainedPipeline("umberto_commoncrawl_cased_v1_pipeline", lang = "it")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("umberto_commoncrawl_cased_v1_pipeline", lang = "it")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | umberto_commoncrawl_cased_v1_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | it |
| Size: | 263.1 MB |
References
https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1
Included Models
- DocumentAssembler
- TokenizerModel
- CamemBertEmbeddings