ALBERT for Token & Sequence Classification.DistilBERT for Token & Sequence Classification.BERT for Token & Sequence Classification.Multi-class Text Classification (Deep learning).Multi-label Sentiment analysis (Deep learning).Multi-class Sentiment analysis (Deep learning).Language Detection & Identification (up to 375 languages).XLM-RoBerta Sentence Embeddings (HuggingFace models).RoBerta Sentence Embeddings (HuggingFace models).BERT Sentence Embeddings (TF Hub & HuggingFace models).Universal Sentence Encoder (TF Hub models).ALBERT Embeddings (TF Hub & HuggingFace models).Longformer Embeddings (HuggingFace models).XLM-RoBERTa Embeddings (HuggingFace models).DeBERTa Embeddings (HuggingFace v2 & v3 models).RoBERTa Embeddings (HuggingFace models).CamemBERT Embeddings (HuggingFace models).DistilBERT Embeddings (HuggingFace models).BERT Embeddings (TF Hub & HuggingFace models).SpanBertCorefModel (Coreference Resolution).Discussions Engage with other community members, share ideas, and show off how you use Spark NLP!.GitHub Bug reports, feature requests, and contributions.Slack For live discussion with the Spark NLP community and the team.Take a look at our official Spark NLP page: for user documentation and examples Community support 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, Google T5, MarianMT, and GPT2 not only to Python and R, but also to JVM ecosystem ( Java, Scala, and Kotlin) at scale by extending Apache Spark natively. 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, Text Generation, and many more NLP tasks. Spark NLP comes with 6000+ pretrained pipelines and models in more than 200+ languages. It provides simple, performant & accurate NLP annotations for machine learning pipelines that scale easily in a distributed environment. Spark NLP is a state-of-the-art Natural Language Processing library built on top of Apache Spark. Spark NLP: State-of-the-Art Natural Language Processing

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