Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Northern Kurdish
Kurdish
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
robust-speech-event
model_for_talk
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use Akashpb13/xlsr_kurmanji_kurdish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akashpb13/xlsr_kurmanji_kurdish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Akashpb13/xlsr_kurmanji_kurdish")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Akashpb13/xlsr_kurmanji_kurdish") model = AutoModelForCTC.from_pretrained("Akashpb13/xlsr_kurmanji_kurdish") - Notebooks
- Google Colab
- Kaggle
| {"f": 0, "c": 1, "j": 2, "i": 3, "r": 4, "ö": 5, "m": 6, "a": 7, "û": 8, "ê": 9, "h": 10, "ğ": 11, "o": 12, "q": 13, "-": 14, "l": 15, "x": 16, "g": 17, "z": 18, "e": 19, "n": 20, "ç": 21, "p": 22, "ş": 23, "b": 24, "î": 25, "t": 26, "u": 27, "̧": 29, "d": 30, "v": 31, "'": 32, "y": 33, "k": 34, "s": 35, "w": 36, "|": 28, "[UNK]": 37, "[PAD]": 38} |