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by thaooonguyennn - opened
README.md
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- Named Entity Recognition
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base_model: fastino/gliner2-large-v1
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# GLissify latest
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Classification-finetuned [GLiNER2 large](https://huggingface.co/fastino/gliner2-large-v1) (340M, DeBERTa-v3-large). Load it with `AutoExtractor`.
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This checkpoint continues from `fastino/gliner2-large-v1` and was trained on ~2.04M
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## Install
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- Named Entity Recognition
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base_model: fastino/gliner2-large-v1
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---
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<div align="center">
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<a href="https://fastino.ai/lp/gliner?utm_source=huggingface" target="_blank" rel="noopener noreferrer">
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<img src="GLiNER-2.5-Decision-HF-Banner.png" alt="Fastino Agent - Fine-tune GLiNER with a single prompt" width="100%"/>
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</a>
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</div>
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<div style="display: flex; flex-wrap: wrap; gap: 8px; margin-bottom: 16px;">
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<a href="https://fastino.ai?utm_source=huggingface" target="_blank" rel="noreferrer" style="text-decoration:none;">
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<img src="https://img.shields.io/badge/Finetune-GLiNER2.5-EA4335" alt="Fine-tune and Deploy GLiNER2.5 with Fastino Agent" style="vertical-align:middle;">
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</a>
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<a href="https://arxiv.org/abs/2507.18546" target="_blank" rel="noreferrer" style="text-decoration:none;">
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<img src="https://img.shields.io/badge/arXiv-2507.18546-b31b1b.svg?logo=arxiv" alt="arXiv Paper" style="vertical-align:middle;">
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</a>
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<a href="https://github.com/fastino-ai/GLiNER2" target="_blank" rel="noreferrer" style="text-decoration:none;">
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<img src="https://img.shields.io/badge/GitHub-GLiNER2-black?logo=github" alt="GitHub" style="vertical-align:middle;">
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</a>
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<a href="https://x.com/fastinoAI" target="_blank" rel="noreferrer" style="text-decoration:none;">
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<img src="https://img.shields.io/twitter/follow/:fastinoAI" alt="Follow @fastinoAI" style="vertical-align:middle;">
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</a>
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</div>
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# GLissify latest
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Classification-finetuned [GLiNER2 large](https://huggingface.co/fastino/gliner2-large-v1) (340M, DeBERTa-v3-large). Load it with `AutoExtractor`.
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This checkpoint continues from `fastino/gliner2-large-v1` and was trained on ~2.04M classification examples generated with Fastino Agent. Training used `max_len=2048`, bf16, and an effective batch size of 8. This upload is **step 95500** from the 4x A100 run.
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## Install
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