STT
STT copied to clipboard
coqui-ai
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
If you have a feature request, then please provide the following information: **Is your feature request related to a problem? Please describe.** We have an Aarch64 device (nvidia jetson agx)...
https://github.com/actions/virtual-environments/issues/5583 We should bump jobs to macos-12 and verify they all work.
STT can be installed in tons of places, but the installation instructions are not consistent and not centralized
In STT playbook....`python3 train.py` is mentioned...not.... `python -m coqui_stt_training`
**Describe the bug** I tried running STT on a system with 8 NVIDA A100 GPUs. I experienced that running on up to 4 devices does not scale well. Each batch...
**Describe the bug** Training stuck at test epoch 0 (Testing model). I was training the common voice dataset using the google colab after it finished training the model. It always...
Merged #2211 and #2249 to get a more accurate cpu count stt-wide.
I pulled `v1.3.0` of STT from NPM and when trying to import it in my ElectronJS project, I get an error saying the bindings can't be found. This is because...
**Describe the bug** After following the [Training-quickstart-docu](https://stt.readthedocs.io/en/latest/TRAINING_INTRO.html), the installation verification fails even though my system fullfills the requirements. My question here, **how much GPU-RAM do I need to get started**...
