Automatic Speech Recognition
Transformers
English
niagara-19m-batch
feature-extraction
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
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: mean_wer | |
| value: 11.01 | |
| date: '2026-06-13' | |
| source: | |
| url: https://huggingface.co/spaces/hf-audio/open_asr_leaderboard | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: rtfx | |
| value: 2840.17 | |
| date: '2026-06-13' | |
| source: | |
| url: https://huggingface.co/spaces/hf-audio/open_asr_leaderboard | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: ami_wer | |
| value: 18.86 | |
| date: '2026-06-13' | |
| source: | |
| url: https://huggingface.co/spaces/hf-audio/open_asr_leaderboard | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: earnings22_wer | |
| value: 14.52 | |
| date: '2026-06-13' | |
| source: | |
| url: https://huggingface.co/spaces/hf-audio/open_asr_leaderboard | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: gigaspeech_wer | |
| value: 13.99 | |
| date: '2026-06-13' | |
| source: | |
| url: https://huggingface.co/spaces/hf-audio/open_asr_leaderboard | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: librispeech_clean_wer | |
| value: 4.81 | |
| date: '2026-06-13' | |
| source: | |
| url: https://huggingface.co/spaces/hf-audio/open_asr_leaderboard | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: librispeech_other_wer | |
| value: 11.19 | |
| date: '2026-06-13' | |
| source: | |
| url: https://huggingface.co/spaces/hf-audio/open_asr_leaderboard | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: spgispeech_wer | |
| value: 3.77 | |
| date: '2026-06-13' | |
| source: | |
| url: https://huggingface.co/spaces/hf-audio/open_asr_leaderboard | |
| name: open-asr-leaderboard | |
| user: hf-audio | |
| - dataset: | |
| id: hf-audio/open-asr-leaderboard | |
| task_id: voxpopuli_wer | |
| value: 9.92 | |
| date: '2026-06-13' | |
| source: | |
| url: https://huggingface.co/spaces/hf-audio/open_asr_leaderboard | |
| name: open-asr-leaderboard | |
| user: hf-audio | |