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README.md
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Weight Decay: 0.01 <br>
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Batch Size: 64 <br>
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## Citation
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If you use this model, please cite the following papers:
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```bibtex
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@inproceedings{
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}
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@inproceedings{kaushik2026sampurner,
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Weight Decay: 0.01 <br>
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Batch Size: 64 <br>
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## Contributors
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[Prachuryya Kaushik](https://www.linkedin.com/in/pkabundant/) <br>
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[Prof. Ashish Anand](https://www.linkedin.com/in/anandashish/)
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CLASSER is a part of the [AWED-FiNER collection](https://huggingface.co/collections/prachuryyaIITG/awed-finer). Please check: [**Paper**](https://huggingface.co/papers/2601.10161) | [**Agentic Tool**](https://github.com/PrachuryyaKaushik/AWED-FiNER) | [**Interactive Demo**](https://huggingface.co/spaces/prachuryyaIITG/AWED-FiNER)
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## Sample Usage
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The AWED-FiNER agentic tool can be used to interact with expert models trained using this framework. Below is an example:
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```bash
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pip install smolagents gradio_client
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```
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```python
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from tool import AWEDFiNERTool
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tool = AWEDFiNERTool(
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space_id="prachuryyaIITG/AWED-FiNER"
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)
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result = tool.forward(
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text="Jude Bellingham joined Real Madrid in 2023.",
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language="English"
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)
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print(result)
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```
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## Citation
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If you use this model, please cite the following papers:
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```bibtex
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@inproceedings{kaushik-anand-2025-classer,
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title = "{CLASSER}: Cross-lingual Annotation Projection enhancement through Script Similarity for Fine-grained Named Entity Recognition",
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author = "Kaushik, Prachuryya and
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Anand, Ashish",
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booktitle = "Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics",
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month = dec,
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year = "2025",
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address = "Mumbai, India",
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publisher = "The Asian Federation of Natural Language Processing and The Association for Computational Linguistics",
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url = "https://aclanthology.org/2025.ijcnlp-long.94/",
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pages = "1745--1760",
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ISBN = "979-8-89176-298-5",
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}
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@misc{kaushik2026awedfiner,
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title = {AWED-FiNER: Agents, Web Applications, and Expert Detectors for Fine-grained Named Entity Recognition across 36 Languages for 6.6 Billion Speakers},
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author = {Kaushik, Prachuryya and Anand, Ashish},
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year = {2026},
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note = {arXiv preprint, submitted},
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archivePrefix= {arXiv},
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eprint = {submit/7163987}
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}
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@inproceedings{kaushik2026sampurner,
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