Instructions to use Juardo/bsc_ai_thesis_torgo_model-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Juardo/bsc_ai_thesis_torgo_model-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Juardo/bsc_ai_thesis_torgo_model-1")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Juardo/bsc_ai_thesis_torgo_model-1") model = AutoModelForAudioClassification.from_pretrained("Juardo/bsc_ai_thesis_torgo_model-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Juardo/bsc_ai_thesis_torgo_model-1: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/Juardo/bsc_ai_thesis_torgo_model-1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Juardo/bsc_ai_thesis_torgo_model-1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Juardo/bsc_ai_thesis_torgo_model-1/resolve/main/pytorch_model.bin
378 MB
- Xet hash:
- 4771f9f47bfbd1ebf43bcb4c186ebe670f56214e6f8ea78443bcbff60de617d3
- Size of remote file:
- 378 MB
- SHA256:
- 1aa17c32f752f134d9f473757c7557ec8a8a11e3496f291ba172178bb964d435
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