Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use kurdai-academy/mms-asr-1b-ckb_Kurdish_Sorani_finetuned_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kurdai-academy/mms-asr-1b-ckb_Kurdish_Sorani_finetuned_v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kurdai-academy/mms-asr-1b-ckb_Kurdish_Sorani_finetuned_v4")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("kurdai-academy/mms-asr-1b-ckb_Kurdish_Sorani_finetuned_v4") model = AutoModelForCTC.from_pretrained("kurdai-academy/mms-asr-1b-ckb_Kurdish_Sorani_finetuned_v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "ckb": { | |
| "[PAD]": 51, | |
| "[UNK]": 50, | |
| "_": 1, | |
| "|": 0, | |
| "«": 2, | |
| "»": 3, | |
| "،": 4, | |
| "؛": 5, | |
| "؟": 6, | |
| "أ": 7, | |
| "ؤ": 8, | |
| "ئ": 9, | |
| "ا": 10, | |
| "ب": 11, | |
| "ت": 12, | |
| "ث": 13, | |
| "ج": 14, | |
| "ح": 15, | |
| "خ": 16, | |
| "د": 17, | |
| "ر": 18, | |
| "ز": 19, | |
| "س": 20, | |
| "ش": 21, | |
| "ع": 22, | |
| "غ": 23, | |
| "ـ": 24, | |
| "ف": 25, | |
| "ق": 26, | |
| "ك": 27, | |
| "ل": 28, | |
| "م": 29, | |
| "ن": 30, | |
| "ه": 31, | |
| "و": 32, | |
| "ى": 33, | |
| "ي": 34, | |
| "ّ": 35, | |
| "پ": 36, | |
| "چ": 37, | |
| "ڕ": 38, | |
| "ژ": 39, | |
| "ڤ": 40, | |
| "ک": 41, | |
| "گ": 42, | |
| "ڵ": 43, | |
| "ھ": 44, | |
| "ۆ": 45, | |
| "ی": 46, | |
| "ێ": 47, | |
| "ە": 48, | |
| "ﮔ": 49 | |
| } | |
| } | |