Instructions to use binmacn/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binmacn/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="binmacn/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("binmacn/results") model = AutoModelForAudioClassification.from_pretrained("binmacn/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from binmacn/results: direct link, hf CLI and curl.
- Browser
- Download file 4.41 kB
-
https://huggingface.co/binmacn/results/resolve/main/training_args.bin
- Command line
-
hf download hf://binmacn/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/binmacn/results/resolve/main/training_args.bin
4.41 kB
- Xet hash:
- f14805ebb6e717c07bfe9e5136b82620bc1567d555cf2cba499bb191adc06346
- Size of remote file:
- 4.41 kB
- SHA256:
- 8b4c74da6471533b5bf9ba06c34704399b0614f32b6b13673e737a9a1a52a044
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