Instructions to use Cafet/whisper-tiny-mongolian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cafet/whisper-tiny-mongolian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Cafet/whisper-tiny-mongolian")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Cafet/whisper-tiny-mongolian") model = AutoModelForSpeechSeq2Seq.from_pretrained("Cafet/whisper-tiny-mongolian") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("Cafet/whisper-tiny-mongolian")
model = AutoModelForSpeechSeq2Seq.from_pretrained("Cafet/whisper-tiny-mongolian")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Cafet/whisper-tiny-mongolian")