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Update python/conda to 6.1.0 [skip test]
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conda/meta.yaml

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{% set name = "spark-nlp" %}
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{% set version = "6.0.5" %}
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{% set version = "6.1.0" %}
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package:
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name: {{ name|lower }}
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version: {{ version }}
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source:
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url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/spark_nlp-{{ version }}.tar.gz
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sha256: 0610b5b78db44b934764e1a4bdfe2fd425e6e6bc03104aeefc83f0e5c9e2808e
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sha256: 1356e0839868a6c4b5f6befad7e937e43864b57e4a0feb168b06395906136a27
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build:
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noarch: python

python/README.md

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Spark NLP is a state-of-the-art Natural Language Processing library built on top of Apache Spark. It provides **simple**, **performant** & **accurate** NLP annotations for machine learning pipelines that **scale** easily in a distributed environment.
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Spark NLP comes with **83000+** pretrained **pipelines** and **models** in more than **200+** languages.
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Spark NLP comes with **100000+** pretrained **pipelines** and **models** in more than **200+** languages.
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It also offers tasks such as **Tokenization**, **Word Segmentation**, **Part-of-Speech Tagging**, Word and Sentence **Embeddings**, **Named Entity Recognition**, **Dependency Parsing**, **Spell Checking**, **Text Classification**, **Sentiment Analysis**, **Token Classification**, **Machine Translation** (+180 languages), **Summarization**, **Question Answering**, **Table Question Answering**, **Text Generation**, **Image Classification**, **Image to Text (captioning)**, **Automatic Speech Recognition**, **Zero-Shot Learning**, and many more [NLP tasks](#features).
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**Spark NLP** is the only open-source NLP library in **production** that offers state-of-the-art transformers such as **BERT**, **CamemBERT**, **ALBERT**, **ELECTRA**, **XLNet**, **DistilBERT**, **RoBERTa**, **DeBERTa**, **XLM-RoBERTa**, **Longformer**, **ELMO**, **Universal Sentence Encoder**, **Llama-2**, **M2M100**, **BART**, **Instructor**, **E5**, **Google T5**, **MarianMT**, **OpenAI GPT2**, **Vision Transformers (ViT)**, **OpenAI Whisper**, **Llama**, **Mistral**, **Phi**, **Qwen2**, and many more not only to **Python** and **R**, but also to **JVM** ecosystem (**Java**, **Scala**, and **Kotlin**) at **scale** by extending **Apache Spark** natively.
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| Spark NLP | Apache Spark 3.5.x | Apache Spark 3.4.x | Apache Spark 3.3.x | Apache Spark 3.2.x | Apache Spark 3.1.x | Apache Spark 3.0.x | Apache Spark 2.4.x | Apache Spark 2.3.x |
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|-----------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|
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| 6.0.x | YES | YES | YES | YES | YES | YES | NO | NO |
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| 6.x.x and up | YES | YES | YES | YES | YES | YES | NO | NO |
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| 5.5.x | YES | YES | YES | YES | YES | YES | NO | NO |
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| 5.4.x | YES | YES | YES | YES | YES | YES | NO | NO |
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| 5.3.x | YES | YES | YES | YES | YES | YES | NO | NO |
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| 14.2 / 14.2 ML | 14.2 ML & GPU |
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| 14.3 / 14.3 ML | 14.3 ML & GPU |
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| 15.0 / 15.0 ML | 15.0 ML & GPU |
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| 15.1 / 15.0 ML | 15.1 ML & GPU |
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| 15.2 / 15.0 ML | 15.2 ML & GPU |
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| 15.3 / 15.0 ML | 15.3 ML & GPU |
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| 15.4 / 15.0 ML | 15.4 ML & GPU |
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| 15.1 / 15.1 ML | 15.1 ML & GPU |
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| 15.2 / 15.2 ML | 15.2 ML & GPU |
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| 15.3 / 15.3 ML | 15.3 ML & GPU |
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| 15.4 / 15.4 ML | 15.4 ML & GPU |
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| 16.4 / 16.4 ML | 16.4 ML & GPU |
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We are compatible with older runtimes. For a full list check databricks support in our official [documentation](https://sparknlp.org/docs/en/install#databricks-support)
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