Automatic Speech Recognition
Transformers
PyTorch
Turkish
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use cahya/wav2vec2-base-turkish-cv7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cahya/wav2vec2-base-turkish-cv7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cahya/wav2vec2-base-turkish-cv7")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("cahya/wav2vec2-base-turkish-cv7") model = AutoModelForCTC.from_pretrained("cahya/wav2vec2-base-turkish-cv7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2d1132f14ca3fa53dd6d82dcae77cd6a7387fc76d91a89134bbf23a21ca9d68
- Size of remote file:
- 378 MB
- SHA256:
- 1b1849589f94f4d2b48dbfe08fe77e3f90c4876f6d59135e13e816e28fbc6248
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