Automatic Speech Recognition
Transformers
PyTorch
JAX
Turkish
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use gorkemgoknar/wav2vec2-large-xlsr-53-turkish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gorkemgoknar/wav2vec2-large-xlsr-53-turkish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gorkemgoknar/wav2vec2-large-xlsr-53-turkish")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("gorkemgoknar/wav2vec2-large-xlsr-53-turkish") model = AutoModelForCTC.from_pretrained("gorkemgoknar/wav2vec2-large-xlsr-53-turkish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"o": 0, "c": 1, "v": 2, "ö": 3, "ı": 4, "m": 5, "n": 6, "h": 7, "z": 8, "p": 9, "f": 10, "j": 11, "ğ": 12, "x": 13, "d": 14, "t": 15, "g": 17, "i": 18, "w": 19, "k": 20, "̇": 21, "q": 22, "s": 23, "r": 24, "ü": 25, "'": 26, "ç": 27, "y": 28, "e": 29, "l": 30, "â": 31, "u": 32, "a": 33, "b": 34, "ş": 35, "î": 36, "|": 16, "[UNK]": 37, "[PAD]": 38} |