Automatic Speech Recognition
Transformers
Safetensors
English
Chinese
qwen3_asr
text-generation
zen3
zen3-asr
zenlm
hanzo
speech-recognition
streaming
transcription
zen-3
Instructions to use zenlm/zen-3-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zenlm/zen-3-asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zenlm/zen-3-asr")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("zenlm/zen-3-asr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 330 Bytes
fdb3c1b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"chunk_length": 30,
"dither": 0.0,
"feature_extractor_type": "WhisperFeatureExtractor",
"feature_size": 128,
"hop_length": 160,
"n_fft": 400,
"n_samples": 480000,
"nb_max_frames": 3000,
"padding_side": "right",
"padding_value": 0.0,
"processor_class": "Qwen3ASRProcessor",
"return_attention_mask": true
} |