Instructions to use AuroraAI-Research/AuroraASR-1M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AuroraAI-Research/AuroraASR-1M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AuroraAI-Research/AuroraASR-1M", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCTC model = AutoModelForCTC.from_pretrained("AuroraAI-Research/AuroraASR-1M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
7 days ago
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AuroraASR-1M: FP32 / FP16 / INT8 + LibriSpeech eval + RTF
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