Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Mongolian
wav2vec2
hf-asr-leaderboard
generated_from_multiple_datasets
Eval Results (legacy)
Instructions to use bayartsogt/wav2vec2-base-mn-pretrain-42h-100-epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bayartsogt/wav2vec2-base-mn-pretrain-42h-100-epochs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bayartsogt/wav2vec2-base-mn-pretrain-42h-100-epochs")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("bayartsogt/wav2vec2-base-mn-pretrain-42h-100-epochs") model = AutoModelForCTC.from_pretrained("bayartsogt/wav2vec2-base-mn-pretrain-42h-100-epochs") - Notebooks
- Google Colab
- Kaggle
Ctrl+K