SIRIS-Lab/AIObioEnts-v0.0.1-model_files
收藏Hugging Face2024-11-11 更新2025-04-12 收录
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https://hf-mirror.com/datasets/SIRIS-Lab/AIObioEnts-v0.0.1-model_files
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资源简介：
---
license: mit
task_categories:
- token-classification
tags:
- BioNER
- Biomedical NER
---
# AIObioEnts model files
**NOTE:** these models are only compatible with the [**AIObioEnts v0.0.1**](https://github.com/sirisacademic/AIObioEnts/tree/v0.0.1)
This dataset contains the model files for [AIObioEnts](https://github.com/sirisacademic/AIObioEnts/tree/v0.0.1), trained using [AIONER](https://github.com/ncbi/AIONER) with 4 different pre-trained models:
- [BiomedBERT-base pre-trained on abstracts from PubMed; the best-performing model reported in the original AIONER paper](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract)
- [BiomedBERT-base pre-trained on both abstracts from PubMed and full-texts articles from PubMedCentral](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext)
- [BioLinkBERT-base](https://huggingface.co/michiyasunaga/BioLinkBERT-base)
- [BioLinkBERT large](https://huggingface.co/michiyasunaga/BioLinkBERT-large)
for the identification of core biomedical entities—gene, disease, cell line, chemical, species, variant— in textual data, in addition to the models fine-tuned with selected entites from the [AnatEM](https://nactem.ac.uk/anatomytagger/#AnatEM) corpus—cell component, tissue, organ, multi-tissue structure, cancer.
提供机构：
SIRIS-Lab
