HooshvareLab/roberta-fa-zwnj-base-ner

This model fine-tuned for the Named Entity Recognition (NER) task on a mixed NER dataset collected from ARMAN, PEYMA, and WikiANN that covered ten types of entities . The following tables summarize the scores obtained by model overall and per each class . You use this model with Transformers pipeline for NER. [RobertaNER] or Tensorflow.model.from_pretrained(model_name_or_path) # model = TFAutoModelForTokenModelFor TokenClassification. # model.tokenizer = AutoTokenizer, model=tokenizer.model, tokenizer.nlpizer.(Model.name_results) #,