Instructions to use Anguuuuus/laryngitis-phrase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anguuuuus/laryngitis-phrase with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Anguuuuus/laryngitis-phrase")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Anguuuuus/laryngitis-phrase") model = AutoModelForAudioClassification.from_pretrained("Anguuuuus/laryngitis-phrase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Anguuuuus/laryngitis-phrase: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/Anguuuuus/laryngitis-phrase/resolve/main/training_args.bin
- Command line
-
hf download hf://Anguuuuus/laryngitis-phrase/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Anguuuuus/laryngitis-phrase/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 6b06c96291417816994483f25ca961e506d0a37c327e03fbd01608bf572e5671
- Size of remote file:
- 4.6 kB
- SHA256:
- bd8b374897d262fb8b6f49a592441648887d1c8f26dfb88942539a80ab3e10d3
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