Instructions to use guiwitz/music_instruments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guiwitz/music_instruments with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="guiwitz/music_instruments") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("guiwitz/music_instruments") model = AutoModelForImageClassification.from_pretrained("guiwitz/music_instruments", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c46cb170caa1d09ad038d5d6f0bd2e52d6aa1f2a47fdad07319760c52df5bcd
- Size of remote file:
- 343 MB
- SHA256:
- 07c134410be89a1ca4a102dce629c3cdecc88866f07f4752926d6991667382f8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.