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A hub of third-party providers and tutorials to help you instantly apply various NLP techniques.
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nicolay-r/nlp-thirdgate
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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]
- LLM / OpenAI /o1
- LLM / OpenAI /Qwen-2.5-Max
- LLM / OpenAI / DeepSeek-R1-distill-7b[📙 qwen-notebook][📙 llama3-notebook]
- LLM / Transformers /LLaMA-3
- LLM / Transformers /Qwen-2
- LLM / Transformers /Phi-4
- LLM / Transformers /Gemma-3[📙 notebook]
- LLM / Transformers /Flan-T5
- LLM / Transformers /Mistral
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
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A hub of third-party providers and tutorials to help you instantly apply various NLP techniques.
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