Hi,
You can access the probability as follows:
from transformers import DistilBertTokenizer, TFDistilBertForSequenceClassification
import tensorflow as tf

tokenizer = DistilBertTokenizer.from_pretrained('distilbert-base-uncased')
model = TFDistilBertForSequenceClassification.from_pretrained('distilbert-base-uncased')

inputs = tokenizer("Hello, my dog is cute", return_tensors="tf")
outputs = model(inputs)

probabilities = tf.math.softmax(outputs.logits, axis=-1)
print(probabilities)

The probabilities are a tensor of shape (batch_size, num_labels), containing the probabilities per class for every example in the batch.