Instructions to use houssemtn/whisper-tiny-ar-linto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use houssemtn/whisper-tiny-ar-linto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="houssemtn/whisper-tiny-ar-linto")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("houssemtn/whisper-tiny-ar-linto") model = AutoModelForSpeechSeq2Seq.from_pretrained("houssemtn/whisper-tiny-ar-linto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Rolling Phase 1: Arbi-Houssem/Tunisian_dataset_STT-TTS15s_filtred_organiser_Mixed + Arbi-Houssem/Tunisian_dataset_STT-TTS15s_filtred_organiser | WER: 192.02%
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