Instructions to use facebook/wav2vec2-xlsr-53-espeak-cv-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-xlsr-53-espeak-cv-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-xlsr-53-espeak-cv-ft")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("facebook/wav2vec2-xlsr-53-espeak-cv-ft") model = AutoModelForCTC.from_pretrained("facebook/wav2vec2-xlsr-53-espeak-cv-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
inference from audio clip with length <2s
👍 1
#12 opened 11 months ago
by
MostafaAlavian
How was the vocab created?
👍 1
#11 opened over 1 year ago
by
Amirjab21
vocab.json doesn't exactly match IPA table.
1
#10 opened over 2 years ago
by
bullgokman
Update README.md
#9 opened over 2 years ago
by
oscarfriedman
Espeak not found on Linux
3
#8 opened over 2 years ago
by
bollilau
Adding `safetensors` variant of this model
#7 opened over 3 years ago
by
SFconvertbot
Update README.md
#6 opened almost 4 years ago
by
lbourdois
Inconsistent demo output
#4 opened about 4 years ago
by
BillyTK616
Demo does not work
#3 opened about 4 years ago
by
jason60810
Demo does not work
2
#1 opened about 4 years ago
by
kalbin