Description
This model is trained on a list of clinical and biomedical datasets curated in-house
How to use
document_assembler = DocumentAssembler()\
.setInputCol("text")\
.setOutputCol("document")
mpnet_embedding = MPNetEmbeddings.pretrained("mpnet_embeddings_medical_assertion_oncology", "en", "clinical/models")\
.setInputCols(["document"])\
.setOutputCol("mpnet_embeddings")
pipeline = Pipeline().setStages([document_assembler, mpnet_embedding])
text = [
["I feel a bit drowsy after taking an insulin."],
["Peter Parker is a nice lad and lives in New York"]
]
data = spark.createDataFrame(text).toDF("text")
result = pipeline.fit(data).transform(data)
val document_assembler = new DocumentAssembler()
.setInputCol("text")
.setOutputCol("document")
val mpnet_embedding = MPNetEmbeddings.pretrained("mpnet_embeddings_medical_assertion_oncology", "en", "clinical/models")
.setInputCols(Array("document"))
.setOutputCol("mpnet_embeddings")
val pipeline = new Pipeline().setStages(Array(document_assembler, mpnet_embedding))
val result = pipeline.fit(data).transform(data)
Results
+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| assertion_embedding|
+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|[{sentence_embeddings, 0, 43, I feel a bit drowsy after taking an insulin., {sentence -> 0}, [-0.030117756, -0.06916913, 0.01004766, 0.0070122266, -0.009609902, -0.07718129, -0.069940895, 0.1486813...|
|[{sentence_embeddings, 0, 47, Peter Parker is a nice lad and lives in New York, {sentence -> 0}, [-0.010607893, -0.06711012, 0.0058346647, 0.010627323, -4.902818E-4, -0.07712458, -0.036254555, 0.12...|
+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
Model Information
| Model Name: | mpnet_embeddings_medical_assertion_oncology |
| Compatibility: | Healthcare NLP 5.3.2+ |
| License: | Licensed |
| Edition: | Official |
| Input Labels: | [document] |
| Output Labels: | [assertion_embedding] |
| Language: | en |
| Size: | 406.9 MB |
| Case sensitive: | false |