Rohith K Bobby's picture

Rohith K Bobby

Rohith04
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AI & ML interests

LLM

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reacted to nicolay-r's post with ā¤ļø 24 days ago
šŸ“¢ Deligted to share the most recent milestone on quick deployment of Named Entity Recognition (NER) in Gen-AI powered systems. Releasing the bulk-ner 0.25.0 which represent a tiny framework that would save you time for deploing NER with any model. šŸ’Ž Why is this important? In the era of GenAI the handling out textual output might be challenging. Instead, recognizing named-entities via domain-oriented systems for your donwstream LLM would be preferable option. šŸ“¦: https://pypi.org/project/bulk-ner/0.25.0/ šŸŒŸ: https://github.com/nicolay-r/bulk-ner I noticed that the direct adaptaion of the LM for NER would result in spending signifcant amount of time on formatting your texts according to the NER-model needs. In particular: 1. Processing CONLL format with B-I-O tags from model outputs 2. Input trimming: long input content might not be completely fitted To cope with these problems, in version 0.25.0 I made a huge steps forward by providing: āœ… šŸ Python API support: see screenshot below for a quick deployment (see screenshot below šŸ“ø) āœ… šŸŖ¶ No-string: dependencies are now clear, so it is purely Python implementation for API calls. āœ… šŸ‘Œ Simplified output formatting: we use lists to represent texts with inner lists that refer to annotated objects (see screenshot below šŸ“ø) šŸ“’ We have a colab for a quick start here (or screenshot for bash / Python API šŸ“ø) https://colab.research.google.com/github/nicolay-r/ner-service/blob/main/NER_annotation_service.ipynb šŸ‘ The code for pipeline deployment is taken from the AREkit project: https://github.com/nicolay-r/AREkit
liked a model about 1 month ago
Efficient-Large-Model/Sana_1600M_1024px_BF16
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