Instructions to use coddiw0mple/HiToEn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coddiw0mple/HiToEn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="coddiw0mple/HiToEn")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("coddiw0mple/HiToEn") model = AutoModelForCTC.from_pretrained("coddiw0mple/HiToEn") - Notebooks
- Google Colab
- Kaggle
Commit ·
22dd8e2
1
Parent(s): 7da6213
Update config.json
Browse files- config.json +1 -1
config.json
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"architectures": [
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"Wav2Vec2ForCTC"
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],
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"model_type": "
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"torch_dtype": "float32",
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"transformers_version": "4.30.0"
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}
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"architectures": [
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"Wav2Vec2ForCTC"
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],
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"model_type": "wav2vec2",
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"torch_dtype": "float32",
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"transformers_version": "4.30.0"
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}
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