Automatic Speech Recognition
Transformers
PyTorch
multilingual
wav2vec2
speech
audio
phoneme-recognition
Instructions to use facebook/wav2vec2-lv-60-espeak-cv-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-lv-60-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-lv-60-espeak-cv-ft")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft") model = AutoModelForCTC.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model returning incorrect phonemes.
1
#10 opened over 1 year ago
by
JSnack58
Request: DOI
#9 opened over 1 year ago
by
Raulo00
TypeError: Received a bool for argument tokenizer, but a PreTrainedTokenizerBase was expected.
6
#8 opened almost 2 years ago
by
tonyataw
Customizable Phone and Word Delimiters
#7 opened about 2 years ago
by
vishal99rkv
[AUTOMATED] Model Memory Requirements
#6 opened over 2 years ago
by
model-sizer-bot
Adding `safetensors` variant of this model
1
#4 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened over 3 years ago
by
SFconvertbot
Update README.md
#1 opened almost 4 years ago
by
lbourdois