Instructions to use Anguuuuus/laryngitis-sentence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anguuuuus/laryngitis-sentence with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Anguuuuus/laryngitis-sentence")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Anguuuuus/laryngitis-sentence") model = AutoModelForAudioClassification.from_pretrained("Anguuuuus/laryngitis-sentence", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Anguuuuus/laryngitis-sentence: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/Anguuuuus/laryngitis-sentence/resolve/main/training_args.bin
- Command line
-
hf download hf://Anguuuuus/laryngitis-sentence/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Anguuuuus/laryngitis-sentence/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- b5c4704e56eef7e4d9b0066a83cde8b38495bdb5389c6e0beb110e0fbbd68271
- Size of remote file:
- 4.66 kB
- SHA256:
- 276bac2ae04a353691e6388f561da0d53a675de5d1f8767ea0298f946d616bdd
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