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")# pip install -U transformers accelerate # 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
Download preprocessor_config.json from guiwitz/music_instruments: direct link, hf CLI and curl.
- Browser
- Download file 228 Bytes
-
https://huggingface.co/guiwitz/music_instruments/resolve/refs%2Fpr%2F1/preprocessor_config.json
- Command line
-
hf download hf://guiwitz/music_instruments@refs/pr/1/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/guiwitz/music_instruments/resolve/refs%2Fpr%2F1/preprocessor_config.json
228 Bytes
| { | |
| "do_normalize": true, | |
| "do_resize": true, | |
| "feature_extractor_type": "ViTFeatureExtractor", | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "resample": 2, | |
| "size": 224 | |
| } | |