Automatic Speech Recognition
Transformers
English
niagara-19m-batch
asr
speech
state-space-model
ssm
edge-ai
audio
on-device
real-time
low-power
low-latency
cpu
embedded
custom_code
Eval Results
Instructions to use abr-ai/niagara-19m-batch.en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abr-ai/niagara-19m-batch.en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abr-ai/niagara-19m-batch.en", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abr-ai/niagara-19m-batch.en", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- ff33fadcfd1528e7e3568c2f4a67a7697e77c126d094ee9cd0a39d11b86d3f3b
- Size of remote file:
- 280 kB
- SHA256:
- 2d2e2976e74a1c6353d26c6c3defc43100022a29757a6af15c8e547b550eb390
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