Instructions to use A7oad/qaf-tasmi-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use A7oad/qaf-tasmi-v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="A7oad/qaf-tasmi-v5")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("A7oad/qaf-tasmi-v5") model = AutoModelForCTC.from_pretrained("A7oad/qaf-tasmi-v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"ξ": "ghunnah", "ξ": "madda_obligatory", "ξ": "madda_permissible", "ξ": "ham_wasl", "ξ": "laam_shamsiyah", "ξ ": "qalaqah", "ξ": "madda_normal", "ξ": "ikhafa", "ξ": "idgham_ghunnah", "ξ": "slnt", "ξ": "idgham_wo_ghunnah", "ξ": "ikhafa_shafawi", "ξ": "madda_necessary", "ξ": "iqlab", "ξ": "idgham_shafawi", "ξ": "idgham_mutajanisayn"} |