Instructions to use espnet/xeus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/xeus with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/xeus" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
TypeError: CNNFrontend.__init__() got an unexpected keyword argument 'normalize_output'
➕ 3
1
#9 opened 7 months ago
by
alvynabranches
best layer for acoustic and speech syntesys
1
#7 opened almost 2 years ago
by
acul3
__init__() got an unexpected keyword argument 's2t_train_config'
6
#6 opened almost 2 years ago
by
jameshuntercarter
Benchmark against Whisper
2
#3 opened almost 2 years ago
by
hokyjack
Gradio Demo
2
#2 opened almost 2 years ago
by
allandclive
build_model_from_file error
2
#1 opened almost 2 years ago
by
licheng01