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diff --git a/parakeet-rs/examples/diarization.rs b/parakeet-rs/examples/diarization.rs
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--- a/parakeet-rs/examples/diarization.rs
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-/*
-Speaker Diarization with NVIDIA Sortformer v2 (Streaming)
-
-Download the Sortformer v2 model:
-https://huggingface.co/altunenes/parakeet-rs/blob/main/diar_streaming_sortformer_4spk-v2.onnx
-Download test audio:
-wget https://github.com/thewh1teagle/pyannote-rs/releases/download/v0.1.0/6_speakers.wav
-
-Usage:
-cargo run --example diarization --features sortformer 6_speakers.wav
-
-NOTE: This example combines two NVIDIA models:
-- Parakeet-TDT: Provides transcription with sentence-level timestamps
-- Sortformer v2: Provides streaming speaker identification (4 speakers max)
-- We use TDT's sentence timestamps + Sortformer's speaker IDs
-- Even if Sortformer can't detect a segment, we still get the transcription (marked UNKNOWN)
-- For more information:
-https://huggingface.co/nvidia/diar_streaming_sortformer_4spk-v2
-
-WARNING: Sortformer handles long audio natively (streaming), but TDT has sequence
-length limitations (~8-10 minutes max). For production use with long audio files,
-run Sortformer on the full audio for diarization, then chunk the audio into
-~5-minute segments for TDT transcription, and map the results back together.
-*/
-
-#[cfg(feature = "sortformer")]
-use parakeet_rs::sortformer::{DiarizationConfig, Sortformer};
-#[cfg(feature = "sortformer")]
-use parakeet_rs::TimestampMode;
-#[cfg(feature = "sortformer")]
-use hound;
-#[cfg(feature = "sortformer")]
-use std::env;
-#[cfg(feature = "sortformer")]
-use std::time::Instant;
-
-#[allow(unreachable_code)]
-fn main() -> Result<(), Box<dyn std::error::Error>> {
-    #[cfg(not(feature = "sortformer"))]
-    {
-        eprintln!("Error: This example requires the 'sortformer' feature.");
-        eprintln!("Please run with: cargo run --example diarization --features sortformer <audio.wav>");
-        return Err("sortformer feature not enabled".into());
-    }
-
-    #[cfg(feature = "sortformer")]
-    {
-        let start_time = Instant::now();
-        let args: Vec<String> = env::args().collect();
-        let audio_path = args.get(1)
-            .expect("Please specify audio file: cargo run --example diarization --features sortformer <audio.wav>");
-
-        println!("{}", "=".repeat(80));
-        println!("Step 1/3: Loading audio...");
-
-        let mut reader = hound::WavReader::open(audio_path)?;
-        let spec = reader.spec();
-
-        let audio: Vec<f32> = match spec.sample_format {
-            hound::SampleFormat::Float => reader
-                .samples::<f32>()
-                .collect::<Result<Vec<_>, _>>()?,
-            hound::SampleFormat::Int => reader
-                .samples::<i16>()
-                .map(|s| s.map(|s| s as f32 / 32768.0))
-                .collect::<Result<Vec<_>, _>>()?,
-        };
-
-        let duration = audio.len() as f32 / spec.sample_rate as f32 / spec.channels as f32;
-        println!("Loaded {} samples ({} Hz, {} channels, {:.1}s)",
-            audio.len(), spec.sample_rate, spec.channels, duration);
-
-        println!("{}", "=".repeat(80));
-        println!("Step 2/3: Performing speaker diarization with Sortformer v2 (streaming)...");
-
-        // Create Sortformer with default config (callhome)
-        let mut sortformer = Sortformer::with_config(
-            "diar_streaming_sortformer_4spk-v2.onnx",
-            None,  // default exec config
-            DiarizationConfig::callhome(),
-        )?;
-
-        let speaker_segments = sortformer.diarize(audio.clone(), spec.sample_rate, spec.channels)?;
-
-        println!("Found {} speaker segments from Sortformer", speaker_segments.len());
-
-        // Print raw diarization segments
-        println!("\nRaw diarization segments:");
-        for seg in &speaker_segments {
-            println!("  [{:06.2}s - {:06.2}s] Speaker {}", seg.start, seg.end, seg.speaker_id);
-        }
-
-        println!("\n{}", "=".repeat(80));
-        println!("Step 3/3: Transcribing with Parakeet-TDT and attributing speakers...\n");
-
-        // Use TDT for transcription with sentence-level timestamps
-        let mut parakeet = parakeet_rs::ParakeetTDT::from_pretrained("./tdt", None)?;
-
-        // Transcribe with Sentences mode (TDT provides punctuation for proper segmentation)
-        if let Ok(result) = parakeet.transcribe_samples(audio, spec.sample_rate, spec.channels, Some(TimestampMode::Sentences)) {
-            // For each sentence from TDT, find the corresponding speaker from Sortformer
-            for segment in &result.tokens {
-                // Find speaker with maximum overlap 
-                let speaker = speaker_segments
-                    .iter()
-                    .filter_map(|s| {
-                        // Calculate overlap between transcription and diarization segment
-                        let overlap_start = segment.start.max(s.start);
-                        let overlap_end = segment.end.min(s.end);
-                        let overlap = (overlap_end - overlap_start).max(0.0);
-                        if overlap > 0.0 {
-                            Some((s.speaker_id, overlap))
-                        } else {
-                            None
-                        }
-                    })
-                    .max_by(|a, b| a.1.partial_cmp(&b.1).unwrap())
-                    .map(|(id, _)| format!("Speaker {}", id))
-                    .unwrap_or_else(|| "UNKNOWN".to_string());
-
-                println!("[{:.2}s - {:.2}s] {}: {}",
-                    segment.start, segment.end, speaker, segment.text);
-            }
-        }
-
-        println!("\n{}", "=".repeat(80));
-        let elapsed = start_time.elapsed();
-        println!("\n✓ Diarization and transcription completed in {:.2}s", elapsed.as_secs_f32());
-        println!("• UNKNOWN: Segments where no speaker was detected by Sortformer");
-        println!("• Config: callhome v2 (onset=0.641, offset=0.561, min_on=0.511, min_off=0.296)");
-
-        Ok(())
-    }
-
-    #[cfg(not(feature = "sortformer"))]
-    unreachable!()
-}