Description
Pretrained CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.gilberto_uncased_from_camembert_fast_tokenizer_pipeline is a English model originally trained by ai-models.
How to use
pipeline = PretrainedPipeline("gilberto_uncased_from_camembert_fast_tokenizer_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("gilberto_uncased_from_camembert_fast_tokenizer_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | gilberto_uncased_from_camembert_fast_tokenizer_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 262.9 MB |
References
https://huggingface.co/ai-models/gilberto-uncased-from-camembert-fast-tokenizer
Included Models
- DocumentAssembler
- TokenizerModel
- CamemBertEmbeddings