rufimelo
/

Legal-BERTimbau-sts-large

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

Inference Endpoints

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rufimelo commited on Jul 30, 2022

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 # rufimelo/Legal-SBERTimbau-nli-large
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
-Legal-SBERTimbau-large is based on Legal-BERTimbau-large whioch derives from [BERTimbau](https://huggingface.co/neuralmind/bert-base-portuguese-cased) Large.
 It is adapted to the Portuguese legal domain.
 ## Usage (Sentence-Transformers)
@@ -104,7 +104,7 @@ print(sentence_embeddings)
 ## Training
-Legal-SBERTimbau-large is based on Legal-BERTimbau-large whioch derives from [BERTimbau](https://huggingface.co/neuralmind/bert-base-portuguese-cased) Large.
 It was trained for Natural Language Inference (NLI). This was chosen due to the lack of Portuguese available data.
 In addition to that, it was submitted to a fine tuning stage with the [assin](https://huggingface.co/datasets/assin) and [assin2](https://huggingface.co/datasets/assin2) datasets.

 # rufimelo/Legal-SBERTimbau-nli-large
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
+Legal-SBERTimbau-large is based on Legal-BERTimbau-large which derives from [BERTimbau](https://huggingface.co/neuralmind/bert-base-portuguese-cased) Large.
 It is adapted to the Portuguese legal domain.
 ## Usage (Sentence-Transformers)
 ## Training
+Legal-SBERTimbau-large is based on Legal-BERTimbau-large which derives from [BERTimbau](https://huggingface.co/neuralmind/bert-base-portuguese-cased) Large.
 It was trained for Natural Language Inference (NLI). This was chosen due to the lack of Portuguese available data.
 In addition to that, it was submitted to a fine tuning stage with the [assin](https://huggingface.co/datasets/assin) and [assin2](https://huggingface.co/datasets/assin2) datasets.