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* Add model 2024-04-04-mpnet_embeddings_biolord_2023_c_en * Update 2024-04-04-mpnet_embeddings_biolord_2023_c_en.md --------- Co-authored-by: ahmet-mesut <drmesutbirol@gmail.com> Co-authored-by: Ahmet Mesut BİROL <99045664+ahmet-mesut@users.noreply.github.com>
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docs/_posts/ahmet-mesut/2024-04-04-mpnet_embeddings_biolord_2023_c_en.md
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--- | ||
layout: model | ||
title: English BioLORD-2023-C MPNetEmbeddings from FremyCompany | ||
author: John Snow Labs | ||
name: mpnet_embeddings_biolord_2023_c | ||
date: 2024-04-04 | ||
tags: [en, mpnet, embeddings, biolord, open_source, onnx] | ||
task: Embeddings | ||
language: en | ||
edition: Spark NLP 5.3.1 | ||
spark_version: 3.0 | ||
supported: true | ||
engine: onnx | ||
annotator: MPNetEmbeddings | ||
article_header: | ||
type: cover | ||
use_language_switcher: "Python-Scala-Java" | ||
--- | ||
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## Description | ||
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Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP `mpnet_embeddings_biolord_2023_c` is a English model originally trained by `FremyCompany`. | ||
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## Predicted Entities | ||
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{:.btn-box} | ||
<button class="button button-orange" disabled>Live Demo</button> | ||
<button class="button button-orange" disabled>Open in Colab</button> | ||
[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mpnet_embeddings_biolord_2023_c_en_5.3.1_3.0_1712265672474.zip){:.button.button-orange.button-orange-trans.arr.button-icon} | ||
[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpnet_embeddings_biolord_2023_c_en_5.3.1_3.0_1712265672474.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3} | ||
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## How to use | ||
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<div class="tabs-box" markdown="1"> | ||
{% include programmingLanguageSelectScalaPythonNLU.html %} | ||
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```python | ||
document_assembler = DocumentAssembler()\ | ||
.setInputCol("text")\ | ||
.setOutputCol("documents") | ||
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embeddings =MPNetEmbeddings.pretrained("mpnet_embeddings_biolord_2023_c","en")\ | ||
.setInputCols(["documents"])\ | ||
.setOutputCol("mpnet_embeddings") | ||
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pipeline = Pipeline().setStages([document_assembler, embeddings]) | ||
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result = pipeline.fit(data).transform(data) | ||
``` | ||
```scala | ||
val document_assembler = new DocumentAssembler() | ||
.setInputCol("text") | ||
.setOutputCol("documents") | ||
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val embeddings = MPNetEmbeddings | ||
.pretrained("mpnet_embeddings_biolord_2023_c", "en") | ||
.setInputCols(Array("documents")) | ||
.setOutputCol("mpnet_embeddings") | ||
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val pipeline = new Pipeline().setStages(Array(document_assembler, embeddings)) | ||
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val result = pipeline.fit(data).transform(data) | ||
``` | ||
</div> | ||
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{:.model-param} | ||
## Model Information | ||
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{:.table-model} | ||
|---|---| | ||
|Model Name:|mpnet_embeddings_biolord_2023_c| | ||
|Compatibility:|Spark NLP 5.3.1+| | ||
|License:|Open Source| | ||
|Edition:|Official| | ||
|Input Labels:|[document]| | ||
|Output Labels:|[MPNet]| | ||
|Language:|en| | ||
|Size:|406.9 MB| | ||
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## References | ||
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https://huggingface.co/FremyCompany/BioLORD-2023-C |