Automatic Speech Recognition
Transformers
PyTorch
JAX
Yakut
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use anton-l/wav2vec2-large-xlsr-53-sakha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anton-l/wav2vec2-large-xlsr-53-sakha with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="anton-l/wav2vec2-large-xlsr-53-sakha")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("anton-l/wav2vec2-large-xlsr-53-sakha") model = AutoModelForCTC.from_pretrained("anton-l/wav2vec2-large-xlsr-53-sakha") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot