Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Mongolian
whisper
whisper-event
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use bayartsogt/whisper-small-mn-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bayartsogt/whisper-small-mn-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bayartsogt/whisper-small-mn-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bayartsogt/whisper-small-mn-1") model = AutoModelForSpeechSeq2Seq.from_pretrained("bayartsogt/whisper-small-mn-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from bayartsogt/whisper-small-mn-1: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/bayartsogt/whisper-small-mn-1/resolve/main/trainer_state.json
- Command line
-
hf download hf://bayartsogt/whisper-small-mn-1/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/bayartsogt/whisper-small-mn-1/resolve/main/trainer_state.json
5.71 kB
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