Sentiment Analysis with DistilBERT

Use a DistilBERT model fine-tuned on SST-2 to classify the sentiment of sentences. Tokenize text with a WordPiece tokenizer, run batched inference on the GPU, read off positive/negative probabilities, and compare predictions against expected labels. The model downloads into the sandbox on first use and stays loaded for the session.