AI正在发生 未来正在更新NeuroBERT-NER
The `boltuix/NeuroBERT-NER` model is a fine-tuned transformer for **Named Entity Recognition (NER)**, built on the `boltuix/NeuroBERT-Mini` base model. It excels at identifying 36 entity types (e.g., people, places, organizations, dates, money) in English text, making it ideal for applications like information extraction, chatbots, and knowledge graph construction. - **Dataset**: boltuix/conll2025-ner (143,709 entries, 6.38 MB) - **Entity Types**: 36 NER tags (18 entity categories with B-/I- tags + O) - **Training Examples**: ~115,812 | **Validation**: ~15,680 | **Test**: ~12,217 *Note*: Split sizes are approximate and don’t sum to 143,709; verify with dataset analysis. - **Domains**: News, user-generated content, research corpora - **Tasks**: Sentence-level and document-level NER - **Version**: v1.1 > **Note**: The dataset link is a placeholder. Replace with the correct Hugging Face repository URL once available.
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The `boltuix/NeuroBERT-NER` model is a fine-tuned transformer for **Named Entity Recognition (NER)**, built on the `boltuix/NeuroBERT-Mini` base model. It excels at identifying 36 entity types (e.g., people, places, organizations, dates, money) in English text, making it ideal for applications like information extraction, chatbots, and knowledge graph construction. - **Dataset**: boltuix/conll2025-ner (143,709 entries, 6.38 MB) - **Entity Types**: 36 NER tags (18 entity categories with B-/I- tags + O) - **Training Examples**: ~115,812 | **Validation**: ~15,680 | **Test**: ~12,217 *Note*: Split sizes are approximate and don’t sum to 143,709; verify with dataset analysis. - **Domains**: News, user-generated content, research corpora - **Tasks**: Sentence-level and document-level NER - **Version**: v1.1 > **Note**: The dataset link is a placeholder. Replace with the correct Hugging Face repository URL once available.