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2025-01-31-sent_dpr_bertnsp_120_en #14514

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Add model 2025-02-01-liar_binaryclassifier_distilbert_cased_baris_yaz…
ahmedlone127 Feb 1, 2025
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ahmedlone127 Feb 1, 2025
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ahmedlone127 Feb 1, 2025
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ahmedlone127 Feb 1, 2025
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ahmedlone127 Feb 2, 2025
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ahmedlone127 Feb 2, 2025
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Add model 2025-02-02-autotrain_image_classification_for_slides_240203…
ahmedlone127 Feb 2, 2025
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ahmedlone127 Feb 2, 2025
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ahmedlone127 Feb 2, 2025
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ahmedlone127 Feb 2, 2025
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ahmedlone127 Feb 2, 2025
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ahmedlone127 Feb 2, 2025
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ahmedlone127 Feb 2, 2025
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Add model 2025-02-02-sent_finetuned__bert_base_spanish_wwm_cased__aug…
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ahmedlone127 Feb 2, 2025
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Add model 2025-02-01-sent_all_minilm_l6_v2_personal_project_finetuned…
…_2024_05_17_pipeline_en
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ahmedlone127 committed Feb 1, 2025
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---
layout: model
title: English sent_all_minilm_l6_v2_personal_project_finetuned_2024_05_17_pipeline pipeline BertSentenceEmbeddings from brugmark
author: John Snow Labs
name: sent_all_minilm_l6_v2_personal_project_finetuned_2024_05_17_pipeline
date: 2025-02-01
tags: [en, open_source, pipeline, onnx]
task: Embeddings
language: en
edition: Spark NLP 5.5.1
spark_version: 3.0
supported: true
annotator: PipelineModel
article_header:
type: cover
use_language_switcher: "Python-Scala-Java"
---

## Description

Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_all_minilm_l6_v2_personal_project_finetuned_2024_05_17_pipeline` is a English model originally trained by brugmark.

{:.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/sent_all_minilm_l6_v2_personal_project_finetuned_2024_05_17_pipeline_en_5.5.1_3.0_1738428667250.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_all_minilm_l6_v2_personal_project_finetuned_2024_05_17_pipeline_en_5.5.1_3.0_1738428667250.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}

## How to use



<div class="tabs-box" markdown="1">
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python

pipeline = PretrainedPipeline("sent_all_minilm_l6_v2_personal_project_finetuned_2024_05_17_pipeline", lang = "en")
annotations = pipeline.transform(df)

```
```scala

val pipeline = new PretrainedPipeline("sent_all_minilm_l6_v2_personal_project_finetuned_2024_05_17_pipeline", lang = "en")
val annotations = pipeline.transform(df)

```
</div>

{:.model-param}
## Model Information

{:.table-model}
|---|---|
|Model Name:|sent_all_minilm_l6_v2_personal_project_finetuned_2024_05_17_pipeline|
|Type:|pipeline|
|Compatibility:|Spark NLP 5.5.1+|
|License:|Open Source|
|Edition:|Official|
|Language:|en|
|Size:|85.0 MB|

## References

https://huggingface.co/brugmark/all-MiniLM-L6-v2-personal-project-finetuned-2024-05-17

## Included Models

- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- BertSentenceEmbeddings