Instructions to use Salama1429/tarteel-ai-whisper-base-ar-quran with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salama1429/tarteel-ai-whisper-base-ar-quran with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Salama1429/tarteel-ai-whisper-base-ar-quran")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Salama1429/tarteel-ai-whisper-base-ar-quran") model = AutoModelForSpeechSeq2Seq.from_pretrained("Salama1429/tarteel-ai-whisper-base-ar-quran", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2 opened about 3 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot