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TinySapBERT-from-TinyPubMedBERT-v1.0

Feature Extraction
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PyTorch
bert
text-embeddings-inference
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@@ -4,7 +4,7 @@ We used our [TinyPubMedBERT](https://huggingface.co/dmis-lab/TinyPubMedBERT-v1.0
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  cf) TinyPubMedBERT is a distillated [PubMedBERT (Gu et al., 2021)](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract), open-sourced along with the release of the KAZU (Korea University and AstraZeneca) framework.
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  * For details, please visit [KAZU framework](https://github.com/AstraZeneca/KAZU) or see our paper entitled **Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework**, (EMNLP 2022 industry track).
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  ### Citation info
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  Joint-first authorship of **Richard Jackson** (AstraZeneca) and **WonJin Yoon** (Korea University).
 
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  cf) TinyPubMedBERT is a distillated [PubMedBERT (Gu et al., 2021)](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract), open-sourced along with the release of the KAZU (Korea University and AstraZeneca) framework.
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  * For details, please visit [KAZU framework](https://github.com/AstraZeneca/KAZU) or see our paper entitled **Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework**, (EMNLP 2022 industry track).
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+ * For the demo of KAZU framework, please visit http://kazu.korea.ac.kr
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  ### Citation info
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  Joint-first authorship of **Richard Jackson** (AstraZeneca) and **WonJin Yoon** (Korea University).