Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Mongolian
whisper
Generated from Trainer
Instructions to use Ojro/whisper-medium-mn-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ojro/whisper-medium-mn-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Ojro/whisper-medium-mn-v2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Ojro/whisper-medium-mn-v2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Ojro/whisper-medium-mn-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3637af83f2bac94c47c8cb1703151682d80624868f050cc687a411f812933d48
- Size of remote file:
- 4.67 kB
- SHA256:
- 294aadc477c7d53bd062e92ff6e31527f585ee2c4e1a89389197f81eaa417f21
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