https://huggingface.co/transformers/custom_datasets.html
i followed token classification tutorial on above link trained completed successufully then i predicted
model = DistilBertForTokenClassification.from_pretrained('./results/checkpoint-500', num_labels=len(unique_tags))
trainer = Trainer(
model=model, # the instantiated 🤗 Transformers model to be trained
)
res = trainer.predict(new_dataset)
predictions = res.predictions```
i am getting an numpy array of d dimension how to convert predicted values to its corresponding tokens and i am assuming that res.predictions is numerical value of tags not tokens if i am wrong correct me