Instructions to use Raffay/org_speech_processing_project_wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raffay/org_speech_processing_project_wav2vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Raffay/org_speech_processing_project_wav2vec2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Raffay/org_speech_processing_project_wav2vec2") model = AutoModelForCTC.from_pretrained("Raffay/org_speech_processing_project_wav2vec2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
config.json
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"_name_or_path": "kingabzpro/wav2vec2-urdu",
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"activation_dropout": 0.1,
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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pytorch_model.bin
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runs/Apr24_01-23-32_192.168.1.6/1650745428.638792/events.out.tfevents.1650745428.192.168.1.6.24200.1
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training_args.bin
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