Instructions to use Talha/URDU-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Talha/URDU-ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Talha/URDU-ASR")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Talha/URDU-ASR") model = AutoModelForCTC.from_pretrained("Talha/URDU-ASR") - Notebooks
- Google Colab
- Kaggle
| { | |
| "[PAD]": 51, | |
| "[UNK]": 50, | |
| "|": 44, | |
| "ء": 3, | |
| "آ": 5, | |
| "أ": 32, | |
| "ؤ": 35, | |
| "ئ": 38, | |
| "ا": 46, | |
| "ب": 25, | |
| "ت": 19, | |
| "ث": 2, | |
| "ج": 49, | |
| "ح": 39, | |
| "خ": 31, | |
| "د": 27, | |
| "ذ": 10, | |
| "ر": 0, | |
| "ز": 33, | |
| "س": 28, | |
| "ش": 42, | |
| "ص": 43, | |
| "ض": 26, | |
| "ط": 45, | |
| "ظ": 15, | |
| "ع": 4, | |
| "غ": 11, | |
| "ف": 8, | |
| "ق": 7, | |
| "ل": 41, | |
| "م": 37, | |
| "ن": 36, | |
| "ه": 21, | |
| "و": 48, | |
| "ى": 17, | |
| "ي": 22, | |
| "ٹ": 9, | |
| "پ": 30, | |
| "چ": 40, | |
| "ڈ": 16, | |
| "ڑ": 14, | |
| "ژ": 47, | |
| "ک": 1, | |
| "گ": 13, | |
| "ں": 23, | |
| "ھ": 24, | |
| "ہ": 34, | |
| "ۂ": 29, | |
| "ۃ": 20, | |
| "ی": 6, | |
| "ے": 18, | |
| "ۓ": 12 | |
| } | |