Description
Pretrained BERT Embedding model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. bert-large-portuguese-cased-legal-mlm is a Portuguese model originally trained by stjiris.
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")
embeddings = BertEmbeddings.pretrained("bert_embeddings_bert_large_portuguese_cased_legal_mlm","pt") \
.setInputCols(["document", "token"]) \
.setOutputCol("embeddings")
pipeline = Pipeline(stages=[documentAssembler, tokenizer, embeddings])
data = spark.createDataFrame([["Eu amo Spark NLP"]]).toDF("text")
result = pipeline.fit(data).transform(data)
Model Information
| Model Name: | bert_embeddings_bert_large_portuguese_cased_legal_mlm |
| Compatibility: | Spark NLP 4.2.7+ |
| License: | Open Source |
| Edition: | Official |
| Input Labels: | [sentence] |
| Output Labels: | [bert_sentence] |
| Language: | pt |
| Size: | 1.3 GB |
| Case sensitive: | true |
| Max sentence length: | 128 |
References
- https://huggingface.co/stjiris/bert-large-portuguese-cased-legal-mlm
- https://www.SBERT.net
- https://rufimelo99.github.io/SemanticSearchSystemForSTJ/_static/logo.png
- https://github.com/rufimelo99
- https://www.inesc-id.pt/projects/PR07005/
- https://www.inesc-id.pt/wp-content/uploads/2019/06/INESC-ID-logo_01.png
- https://rufimelo99.github.io/SemanticSearchSystemForSTJ/