Instructions to use Anguuuuus/mydata-iau with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anguuuuus/mydata-iau with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Anguuuuus/mydata-iau")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Anguuuuus/mydata-iau") model = AutoModelForAudioClassification.from_pretrained("Anguuuuus/mydata-iau", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Anguuuuus/mydata-iau: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/Anguuuuus/mydata-iau/resolve/main/training_args.bin
- Command line
-
hf download hf://Anguuuuus/mydata-iau/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Anguuuuus/mydata-iau/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 0b6dd130a15a365fe662945564cde67a941060399fdfbfb3509878fd57ad1d68
- Size of remote file:
- 4.66 kB
- SHA256:
- 6f40d923a83d6f2ef75dadd0a509912b5da0462fb3194ce9e1f34b88d5dd72b6
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