Healthcare, Medcat, NLP, Hugging Face, Bert.
batched=True, remove_columns=['ent_cuis', 'ent_ends', 'ent_starts', 'text']) The dataset now looks like this: Dataset({ features: ['id', 'input_ids', 'labels'], num_rows: 4935 }) Training a 🤗 Transformers Model If our use-case has a relatively smaller number of unique concepts (not in 10s of