John Snow Labs Spark-NLP 3.2.2: Models Hub for the community by the community, new RoBERTa and XLM-RoBERTa Sentence Embeddings, 40 new models in 20 languages, bug fixes, and more! #6054
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Overview
We are pleased to release Spark NLP 🚀 3.2.2! This release comes with accessible Models Hub to our community to host their models and pipelines for free, new RoBERTa and XLM-RoBERTa Sentence Embeddings, over 40 new models and pipelines in 20+ languages, bug fixes, and more
As always, we would like to thank our community for their feedback, questions, and feature requests.
New Features
Models Hub for the community, by the community
Serve Your Spark NLP Models for Free! You can host and share your Spark NLP models & pipelines publicly with everyone to reuse them with one line of code!
We are opening Models Hub to everyone to upload their models and pipelines, showcase their work, and share them with others.
Please visit the following page for more information: https://modelshub.johnsnowlabs.com/
Bug Fixes & Enhancements
elmoas a default poolingLayer in ElmoEmbeddingsModels and Pipelines
Spark NLP 3.2.2 comes with new Turkish text classifier pipelines, Expert BERT Word and Sentence embeddings such as wiki books and PubMed, new BERT model for 17 Indian languages, and Sentence Detection models for 15 new languages.
Pipelines
trdeentrNamed Entity Recognition
enenenenBERT Embeddings
xxenenenenenenenenenenenenenenenenxxSentence Detection
Yiddish, Ukrainian, Telugu, Tamil, Somali, Sindhi, Russian, Punjabi, Nepali, Marathi, Malayalam, Kannada, Indonesian, Gujrati, Bosnian
yiuktetasosdrupanemrmlknidgubsThe complete list of all 3700+ models & pipelines in 200+ languages is available on Models Hub.
Documentation
Installation
Python
#PyPI pip install spark-nlp==3.2.2Spark Packages
spark-nlp on Apache Spark 3.0.x and 3.1.x (Scala 2.12 only):
GPU
spark-nlp on Apache Spark 2.4.x (Scala 2.11 only):
GPU
spark-nlp on Apache Spark 2.3.x (Scala 2.11 only):
GPU
Maven
spark-nlp on Apache Spark 3.0.x and 3.1.x:
spark-nlp-gpu:
spark-nlp on Apache Spark 2.4.x:
spark-nlp-gpu:
spark-nlp on Apache Spark 2.3.x:
spark-nlp-gpu:
FAT JARs
CPU on Apache Spark 3.x: https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/jars/spark-nlp-assembly-3.2.2.jar
GPU on Apache Spark 3.x: https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/jars/spark-nlp-gpu-assembly-3.2.2.jar
CPU on Apache Spark 2.4.x: https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/jars/spark-nlp-spark24-assembly-3.2.2.jar
GPU on Apache Spark 2.4.x: https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/jars/spark-nlp-gpu-spark24-assembly-3.2.2.jar
CPU on Apache Spark 2.3.x: https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/jars/spark-nlp-spark23-assembly-3.2.2.jar
GPU on Apache Spark 2.3.x: https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/jars/spark-nlp-gpu-spark23-assembly-3.2.2.jar
This discussion was created from the release John Snow Labs Spark-NLP 3.2.2: Models Hub for the community by the community, new RoBERTa and XLM-RoBERTa Sentence Embeddings, 40 new models in 20 languages, bug fixes, and more!.
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