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
File size: 336 Bytes
ea8b1b4 0e6ca88 ea8b1b4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"feature_extractor_type": "FeatureExtractor",
"processor_class": "FeatureExtractor",
"auto_map": {
"AutoFeatureExtractor": "feature_extraction.FeatureExtractor"
},
"window_size_ms": 25,
"window_stride_ms": 10,
"mel_lower_edge_hertz": 0,
"mel_upper_edge_hertz": 8000,
"mel_num_bins": 80,
"sample_rate": 16000
}
|