Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Mongolian
whisper
whisper-event
hf-asr-leaderboard
generated_from_multiple_datasets
Eval Results (legacy)
Instructions to use bayartsogt/whisper-tiny-mn-9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bayartsogt/whisper-tiny-mn-9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bayartsogt/whisper-tiny-mn-9")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bayartsogt/whisper-tiny-mn-9") model = AutoModelForSpeechSeq2Seq.from_pretrained("bayartsogt/whisper-tiny-mn-9") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot