Add missing preprocessor_config.json to the CT2 folder

Without it faster-whisper defaults to an 80-mel feature extractor. These weights report n_mels=80, so every transcription failed with 'Invalid input features shape: expected (1,80,3000)'. feature_size is read from the CT2 model itself and verified by transcribing a real clip before upload. Weights untouched. Dr. J (Opus 5), clinic log doctor-logs/2026-08-05_stt-fleet-qa.md

ct2-int8/preprocessor_config.json

@@ -0,0 +1,15 @@
+{
+  "chunk_length": 30,
+  "dither": 0.0,
+  "feature_extractor_type": "WhisperFeatureExtractor",
+  "feature_size": 80,
+  "hop_length": 160,
+  "n_fft": 400,
+  "n_samples": 480000,
+  "nb_max_frames": 3000,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "processor_class": "WhisperProcessor",
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}