2023-04-07-embeddings_clinical_large_en

docs/_posts/Cabir40/2023-04-07-embeddings_clinical_large_en.md

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+---
+layout: model
+title: Embeddings Clinical (Large)
+author: John Snow Labs
+name: embeddings_clinical_large
+date: 2023-04-07
+tags: [licensed, en, clinical, embeddings]
+task: Embeddings
+language: en
+edition: Healthcare NLP 4.3.2
+spark_version: 3.0
+supported: true
+annotator: WordEmbeddingsModel
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+This model is trained on a list of clinical and biomedical datasets curated in-house, using the word2vec algorithm. The dataset curation cut-off date is March 2023 and the model is expected to have a better generalization on recent content. The size of the model is around 2 GB and has 200 dimensions. Our benchmark tests indicate that our legacy clinical embeddings (embeddings _clinical) can be replaced with this one.
+
+{:.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/clinical/models/embeddings_clinical_large_en_4.3.2_3.0_1680905541704.zip){:.button.button-orange}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/models/embeddings_clinical_large_en_4.3.2_3.0_1680905541704.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
+
+embeddings = WordEmbeddingsModel.pretrained("embeddings_clinical_large","en","clinical/models")\
+    .setInputCols(["document","token"])\
+    .setOutputCol("word_embeddings")
+
+```
+```scala
+
+val embeddings = WordEmbeddingsModel.pretrained("embeddings_clinical_large","en","clinical/models")
+    .setInputCols(Array("document","token"))
+    .setOutputCol("word_embeddings")
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|embeddings_clinical_large|
+|Type:|embeddings|
+|Compatibility:|Healthcare NLP 4.3.2+|
+|License:|Licensed|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[word_embeddings]|
+|Language:|en|
+|Size:|2.0 GB|
+|Case sensitive:|true|
+|Dimension:|200|