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A hub ofthird-party NLP providers and tutorials to help you instantly handle yourdata iterator withno-string dependency apps.

The purpose is of this project is to shareThird-party providers that could be combined into a singlepipeline.

• LLM /Mistral.AI[🤖 models]
• LLM /OpenRouter.AI[🤖 models]
• LLM /Replicate.IO[🤖 models]
• LLM /OpenAI / ChagGPT
• NER /DeepPavlov[📙 notebook]
• NER /Flair[bash-script][🤖 models]
• NER /Spacy[bash-script][🤖 models]
• Translation /GoogleTranslator[📙 notebook]

In this project we consider that each provider represent a wrapper over third-party app to handle iterator of data.We considerdict python type for representing each record of the data.

If you wish to use severalthird-party providers all together for adata-iterators, it is recommented to adoptAREkit framework as a no-string solution for deploying pipeline that support batching mode.

• bulk-chain -- framework for reasoning over your tabular data rows with any provided LLM
• bulk-ner -- framework for a quick third-party models binding for entities extraction from cells of long tabular data
• bulk-translate -- framework for translation of a massive stream of texts with native support of pre-annotated fixed-spans that are invariant for translator.
• AREkit pipelines -- toolkit for handling your textual data iterators with various NLP providers