Automatic Speech Recognition
Transformers
Safetensors
Maltese
whisper
common-voice
mozilla-data-collective
Instructions to use titaniumbones/whisper-small-mt-commonvoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use titaniumbones/whisper-small-mt-commonvoice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="titaniumbones/whisper-small-mt-commonvoice")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("titaniumbones/whisper-small-mt-commonvoice") model = AutoModelForSpeechSeq2Seq.from_pretrained("titaniumbones/whisper-small-mt-commonvoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K