Portuguese NER BERT CRF HAREM Default This model is a fine tuned BERT model adapted for Named Entity Recognition (NER) tasks. It utilizes Conditional Random Fields (CRF) as the decoder. The model follows the HAREM Default labeling scheme for NER. Additionally, it provides options for HAREM Selective and Conll 2003 labeling schemes. How to Use You can employ this model using the Transformers library's pipeline for NER, or incorporate it as a conventional Transformer in the HuggingFace ecosystem. Demo There is a Notebook available to test our code. PT Pump Up This model is integrated in the project PT Pump Up Evaluation Testing Data The model was tested on the Miniharem Testset. Results F1 Score: 0.787 Citation Citation will be made available soon. BibTeX: :(
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