Instructions to use csana/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csana/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="csana/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("csana/results") model = AutoModelForAudioClassification.from_pretrained("csana/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from csana/results: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/csana/results/resolve/main/training_args.bin
- Command line
-
hf download hf://csana/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/csana/results/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 851cd56db567807078d86dbb5f81080e7e5b75e18f56a968c623fb2154fded43
- Size of remote file:
- 5.78 kB
- SHA256:
- a9bed78876e81dc7f374b486485b410141d69052ccde794c7148b9c2e2369537
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