Instructions to use rexoscare/string_instrument_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rexoscare/string_instrument_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="rexoscare/string_instrument_detector") 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("rexoscare/string_instrument_detector") model = AutoModelForImageClassification.from_pretrained("rexoscare/string_instrument_detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- acd55ed24480d533d818945521dd81cc016c913301be23d73f7536a3e861590d
- Size of remote file:
- 343 MB
- SHA256:
- 14045bf8bdc538f98cd6e43814c27f557d2017af03ae49c9512f16792c640c20
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