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
- Xet hash:
- f0150c75baa15bc0b1650e637ce30cfd2c768c35d247c2ec5798e15b395636ce
- Size of remote file:
- 1.26 GB
- SHA256:
- 98ca69e7865fda3eeef1e096e53fa35c5b44fc0b8960640472486e9df4ffb95e
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