Instructions to use HamdanXI/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HamdanXI/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="HamdanXI/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("HamdanXI/results") model = AutoModelForAudioClassification.from_pretrained("HamdanXI/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from HamdanXI/results: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/HamdanXI/results/resolve/main/training_args.bin
- Command line
-
hf download hf://HamdanXI/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HamdanXI/results/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 7d948073388c2cce3020aafc52a43eb99a736378d9b4b8d53915db5d425a2c65
- Size of remote file:
- 4.92 kB
- SHA256:
- 80f29a588cfee9ddf0c86aeeddc61a626fa3f2b90b1fd7182a97da1cebc319f0
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