Description
Pretrained Legal Roberta Embeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. legal-english-roberta-base
is a English model originally trained by joelito
.
How to use
sentence_embeddings = RoBertaEmbeddings.pretrained("roberta_base_english_legal", "en")\
.setInputCols(["sentence"])\
.setOutputCol("embeddings")
val sentence_embeddings = RoBertaEmbeddings.pretrained("roberta_base_english_legal", "en")
.setInputCols("sentence")
.setOutputCol("embeddings"))
Model Information
Model Name: | roberta_base_english_legal |
Compatibility: | Spark NLP 4.2.4+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [sentence, token] |
Output Labels: | [embeddings] |
Language: | en |
Size: | 416.0 MB |
Case sensitive: | true |
References
https://huggingface.co/joelito/legal-english-roberta-base