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:
- 29acd990eb0d5b58f84350c34d1ab6c3377a1eaa7afe5dfae7ef7891db4921ff
- Size of remote file:
- 1.26 GB
- SHA256:
- 6f05bda072d024ebdc9faac9aab0581d1989727740c92356d1ccf7a6468eb7c8
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