Automatic Speech Recognition
ESPnet
ONNX
Portuguese
espnet-aed
onnx-asr
e-branchformer
w2v-bert-2.0
european-portuguese
Instructions to use OpenVoiceOS/inesc-id-ebranch-w2vbert2-ep-aed-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use OpenVoiceOS/inesc-id-ebranch-w2vbert2-ep-aed-onnx with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "OpenVoiceOS/inesc-id-ebranch-w2vbert2-ep-aed-onnx" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f6215f40a6cb1dd69be5e06c30d24a26e244de3670f3c63147f75c889b97a64
- Size of remote file:
- 1.51 MB
- SHA256:
- 8d3b29e8540792e1ff811823b96c77f9c9de9386dc0a124eb7a44ae4ed1e0b4e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.