Automatic Speech Recognition
NeMo
Safetensors
Transformers
PyTorch
nemotron3_5_asr
feature-extraction
speech-recognition
cache-aware ASR
streaming-asr
multilingual
speech
audio
FastConformer
RNNT
Parakeet
ASR
NeMo
Eval Results (legacy)
Eval Results
Instructions to use nvidia/nemotron-3.5-asr-streaming-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/nemotron-3.5-asr-streaming-0.6b with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/nemotron-3.5-asr-streaming-0.6b") transcriptions = asr_model.transcribe(["file.wav"]) - Transformers
How to use nvidia/nemotron-3.5-asr-streaming-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nvidia/nemotron-3.5-asr-streaming-0.6b")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("nvidia/nemotron-3.5-asr-streaming-0.6b") model = AutoModel.from_pretrained("nvidia/nemotron-3.5-asr-streaming-0.6b", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "Nemotron3_5AsrForRNNT" | |
| ], | |
| "blank_token_id": 13087, | |
| "decoder_hidden_size": 640, | |
| "dtype": "float32", | |
| "durations": [], | |
| "encoder_config": { | |
| "activation_dropout": 0.1, | |
| "attention_bias": false, | |
| "attention_dropout": 0.1, | |
| "conv_kernel_size": 9, | |
| "convolution_bias": false, | |
| "default_num_lookahead_tokens": 3, | |
| "dropout": 0.1, | |
| "dropout_positions": 0.0, | |
| "hidden_act": "silu", | |
| "hidden_size": 1024, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "layerdrop": 0.1, | |
| "max_position_embeddings": 5000, | |
| "model_type": "nemotron_asr_streaming_encoder", | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 24, | |
| "num_key_value_heads": 8, | |
| "num_mel_bins": 128, | |
| "scale_input": false, | |
| "sliding_window": 57, | |
| "subsampling_conv_channels": 256, | |
| "subsampling_conv_kernel_size": 3, | |
| "subsampling_conv_stride": 2, | |
| "subsampling_factor": 8, | |
| "supported_num_lookahead_tokens": [ | |
| 3, | |
| 0, | |
| 6, | |
| 13 | |
| ] | |
| }, | |
| "hidden_act": "relu", | |
| "initializer_range": 0.02, | |
| "is_encoder_decoder": true, | |
| "max_symbols_per_step": 10, | |
| "model_type": "nemotron3_5_asr", | |
| "num_decoder_layers": 2, | |
| "num_prompts": 128, | |
| "pad_token_id": 0, | |
| "prompt_intermediate_size": 2048, | |
| "transformers_version": "5.13.0.dev0", | |
| "vocab_size": 13088, | |
| "default_prompt_id": 101 | |
| } |