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
Training in progress, step 200
Browse files- config.json +1 -0
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
config.json
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"transformers_version": "4.17.0.dev0",
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"use_weighted_layer_sum": false,
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"vocab_size": 40,
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"vocab_size": 40,
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pytorch_model.bin
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training_args.bin
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