nvidia/Nemotron-3.5-ASR-Streaming-Multilingual-0.6b
Nemotron 3.5 ASR Streaming Multilingual is an open 0.6B-parameter prompt-conditioned cache-aware FastConformer-RNNT model, engineered for low-latency streaming transcription across 40+ languages. It powers real-time captioning, voice agents, and multilingual transcription pipelines—replacing separate per-language Whisper deployments with a single inference pass.
Try the model with a sample request using the same API shape shown in the reference page.
Please upload an audio file
temperature to use for sampling (Default: 0)
optional text to provide as a prompt for the first window.. (Default: empty)
chunk level, either 'segment' or 'word'
chunk length in seconds to split audio (Default: 30, 1 ≤ chunk_length_s ≤ 30)
task to perform
The service tier used for processing the request. 'priority' processes the request with higher priority (premium rate); 'flex' processes it at lower priority for a discount, served only when spare capacity exists and may be retried/timed out under load. Both apply only to models that support the respective tier.
language that the audio is in; uses detected language if None; use two letter language code (ISO 639-1) (e.g. en, de, ja)
Adjust settings and run the demo to see the model output generated here in real-time.
