 How to use  You can use this model with Transformers *pipeline* for NER.  ```python from transformers import AutoTokenizer, AutoModelForTokenClassification from transformers import pipeline  tokenizer = AutoTokenizer.from_pretrained("Dizex/InstaFoodRoBERTa-NER") model = AutoModelForTokenClassification.from_pretrained("Dizex/InstaFoodRoBERTa-NER")  pipe = pipeline("ner", model=model, tokenizer=tokenizer) example = "Today's meal: Fresh olive poké bowl topped with chia seeds. Very delicious!"  ner_entity_results = pipe(example) print(ner_entity_results) ```  