Automatic Speech Recognition
Transformers
Safetensors
English
asr_model
feature-extraction
asr
speech-recognition
speech-to-text
audio
speech-llm
word-timestamps
speaker-diarization
qwen
granite-speech
custom_code
Instructions to use mazesmazes/tiny-audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mazesmazes/tiny-audio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mazesmazes/tiny-audio", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mazesmazes/tiny-audio", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
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Promote tiny-audio-granite-qwen-500-3 (Granite NC encoder + fine-tuned Qwen3-0.6B)
Verified signatureCopy of mazesmazes/tiny-audio-granite-qwen-500-3@989df838 (step 16159). config.json: pretrained_model_path -> mazesmazes/tiny-audio, model_dtype -> bfloat16. Previous model tagged granite-qwen-frozen-4.26ce2ed
18 days ago
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Update custom model files, README, and requirements
Verified signature06c9685 -
Update custom model files, README, and requirements
Verified signature8c0bdcb