2022-04-14-roberta_embeddings_roberta_base_russian_v0_ru_3_0

docs/_posts/luca-martial/2022-04-14-roberta_embeddings_roberta_base_russian_v0_ru_3_0.md

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+---
+layout: model
+title: Russian RoBERTa Embeddings (from blinoff)
+author: John Snow Labs
+name: roberta_embeddings_roberta_base_russian_v0
+date: 2022-04-14
+tags: [ru, open_source]
+task: Embeddings
+language: ru
+edition: Spark NLP 3.4.2
+spark_version: 3.0
+supported: true
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBERTa Embeddings model, uploaded to Hugging Face, adapted and imported into Spark NLP. `roberta-base-russian-v0` is a Russian model orginally trained by `blinoff`.
+
+{:.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/roberta_embeddings_roberta_base_russian_v0_ru_3.4.2_3.0_1649947793512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = DocumentAssembler() \
+    .setInputCol("text") \
+    .setOutputCol("document")
+
+tokenizer = Tokenizer() \
+    .setInputCols("document") \
+    .setOutputCol("token")
+
+embeddings = RoBertaEmbeddings.pretrained("roberta_embeddings_roberta_base_russian_v0","ru") \
+    .setInputCols(["document", "token"]) \
+    .setOutputCol("embeddings")
+
+pipeline = Pipeline(stages=[documentAssembler, tokenizer, embeddings])
+
+data = spark.createDataFrame([["Я люблю искра NLP"]]).toDF("text")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new DocumentAssembler() 
+      .setInputCol("text") 
+      .setOutputCol("document")
+
+val tokenizer = new Tokenizer() 
+    .setInputCols(Array("document"))
+    .setOutputCol("token")
+
+val embeddings = RoBertaEmbeddings.pretrained("roberta_embeddings_roberta_base_russian_v0","ru") 
+    .setInputCols(Array("document", "token")) 
+    .setOutputCol("embeddings")
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, embeddings))
+
+val data = Seq("Я люблю искра NLP").toDF("text")
+
+val result = pipeline.fit(data).transform(data)
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_embeddings_roberta_base_russian_v0|
+|Compatibility:|Spark NLP 3.4.2+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[bert]|
+|Language:|ru|
+|Size:|468.0 MB|
+|Case sensitive:|true|
+
+## References
+
+- https://huggingface.co/blinoff/roberta-base-russian-v0