Instructions to use pepoo20/kaggle_output2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pepoo20/kaggle_output2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pepoo20/kaggle_output2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pepoo20/kaggle_output2") model = AutoModelForCTC.from_pretrained("pepoo20/kaggle_output2") - Notebooks
- Google Colab
- Kaggle
Upload Wav2Vec2ForCTC
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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"activation_dropout": 0.1,
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"adapter_kernel_size": 3,
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"_name_or_path": "/content/checkpoint-20000",
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"activation_dropout": 0.1,
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pytorch_model.bin
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size 1262258541
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