Automatic Speech Recognition
Transformers
PyTorch
JAX
Kyrgyz
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use anton-l/wav2vec2-large-xlsr-53-kyrgyz 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-kyrgyz 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-kyrgyz")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("anton-l/wav2vec2-large-xlsr-53-kyrgyz") model = AutoModelForCTC.from_pretrained("anton-l/wav2vec2-large-xlsr-53-kyrgyz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened over 1 year ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#1 opened over 2 years ago
by
librarian-bot