Automatic Speech Recognition
Transformers
Safetensors
Mongolian
whisper
whisper-event
hf-asr-leaderboard
Instructions to use warmestman/whisper-larger-v3-mn-2000steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use warmestman/whisper-larger-v3-mn-2000steps with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="warmestman/whisper-larger-v3-mn-2000steps")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("warmestman/whisper-larger-v3-mn-2000steps") model = AutoModelForSpeechSeq2Seq.from_pretrained("warmestman/whisper-larger-v3-mn-2000steps") - Notebooks
- Google Colab
- Kaggle