Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Mongolian
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Ojro/whisper-tiny-mn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ojro/whisper-tiny-mn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Ojro/whisper-tiny-mn")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Ojro/whisper-tiny-mn") model = AutoModelForSpeechSeq2Seq.from_pretrained("Ojro/whisper-tiny-mn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ojro/whisper-tiny-mn: direct link, hf CLI and curl.
- Browser
- Download file 4.28 kB
-
https://huggingface.co/Ojro/whisper-tiny-mn/resolve/main/training_args.bin
- Command line
-
hf download hf://Ojro/whisper-tiny-mn/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ojro/whisper-tiny-mn/resolve/main/training_args.bin
4.28 kB
- Xet hash:
- c2362fd3fd89b72ddbf23b52e256b8038709088a35584d8fabd1b39a49086648
- Size of remote file:
- 4.28 kB
- SHA256:
- 48239a80687544a21ed21bcf7effed97b4b67f4a99bcedabf9155d71efc98a4b
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