Automatic Speech Recognition
Transformers
Safetensors
Hindi
English
qwen3_asr
speech
speech-to-text
hindi-asr
hindi-speech-to-text
hinglish-asr
voice-agents
streaming-asr
hindi
code-switching
hinglish
maya-research
qwen3-asr
Eval Results (legacy)
Instructions to use maya-research/maya-transcribe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maya-research/maya-transcribe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="maya-research/maya-transcribe")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("maya-research/maya-transcribe") model = AutoModelForMultimodalLM.from_pretrained("maya-research/maya-transcribe", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 487 Bytes
3ce4290 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"feature_extractor": {
"chunk_length": 30,
"dither": 0.0,
"feature_extractor_type": "Qwen3ASRFeatureExtractor",
"feature_size": 128,
"hop_length": 160,
"min_length": 8000,
"n_fft": 400,
"n_samples": 480000,
"n_window": 50,
"nb_max_frames": 3000,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 16000
},
"processor_class": "Qwen3ASRProcessor",
"timestamp_segment_time": 80
}
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