Instructions to use Nuwaisir/Quran_speech_recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nuwaisir/Quran_speech_recognizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Nuwaisir/Quran_speech_recognizer")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Nuwaisir/Quran_speech_recognizer") model = AutoModelForCTC.from_pretrained("Nuwaisir/Quran_speech_recognizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Nuwaisir Rabi commited on
Commit ·
17d580a
1
Parent(s): 4281bc1
Update README.md
Browse files
README.md
CHANGED
|
@@ -10,7 +10,7 @@ using the data available at https://www.kaggle.com/c/quran-asr-challenge/data.
|
|
| 10 |
Our model can be found at https://huggingface.co/Nuwaisir/Quran_speech_recognizer.
|
| 11 |
|
| 12 |
# Usage
|
| 13 |
-
Run all the cells of
|
| 14 |
recitation for 5 seconds (changeable) from the time you run that cell. And then convert your
|
| 15 |
speech to Arabic text and show the most probable corresponding parts of 30th juzz
|
| 16 |
(Surah 78 - 114) of the Quran as the output based on edit distance value.
|
|
|
|
| 10 |
Our model can be found at https://huggingface.co/Nuwaisir/Quran_speech_recognizer.
|
| 11 |
|
| 12 |
# Usage
|
| 13 |
+
Run all the cells of run_ui.ipynb. The last cell will hear your
|
| 14 |
recitation for 5 seconds (changeable) from the time you run that cell. And then convert your
|
| 15 |
speech to Arabic text and show the most probable corresponding parts of 30th juzz
|
| 16 |
(Surah 78 - 114) of the Quran as the output based on edit distance value.
|