ui/blocks/text-insights/sentiment-analyzer
Classify one text or thousands with DistilBERT SST-2 (one item per line, or a .txt/.csv first column) via useSequentialBatch — streaming results in input order with per-item error isolation, a cancel that keeps partial results, determinate progress plus throughput (items/sec, elapsed, ETA), aggregate positive/negative stats over every completed item, and a 100-row windowed result list. The model downloads only behind Run. No model bytes download until an explicit in-block action.
ui/blocks/text-insights/sentiment-analyzer
Classify one text or thousands with DistilBERT SST-2 (one item per line, or a .txt/.csv first column) via useSequentialBatch — streaming results in input order with per-item error isolation, a cancel that keeps partial results, determinate progress plus throughput (items/sec, elapsed, ETA), aggregate positive/negative stats over every completed item, and a 100-row windowed result list. The model downloads only behind Run. No model bytes download until an explicit in-block action.