Instructions to use hf-internal-testing/tiny-random-wavlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-wavlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="hf-internal-testing/tiny-random-wavlm")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-wavlm") model = AutoModelForAudioClassification.from_pretrained("hf-internal-testing/tiny-random-wavlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
b50a065
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Parent(s): be01993
Update config.json
Browse files- config.json +1 -1
config.json
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"hidden_size": 16,
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"id2label": {
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"0": "yes",
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"1": "no"
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},
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"initializer_range": 0.02,
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"intermediate_size": 20,
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"hidden_size": 16,
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"id2label": {
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"0": "yes",
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"1": "no"
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},
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"initializer_range": 0.02,
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"intermediate_size": 20,
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