Instructions to use YasserAlrayes/DeiT_S16_RF_Spectrogram with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YasserAlrayes/DeiT_S16_RF_Spectrogram with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="YasserAlrayes/DeiT_S16_RF_Spectrogram") 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("YasserAlrayes/DeiT_S16_RF_Spectrogram") model = AutoModelForImageClassification.from_pretrained("YasserAlrayes/DeiT_S16_RF_Spectrogram", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3694fabf13c4460701777fdefb1c7a556bb0c5187f375361377c73c7c228b27d
- Size of remote file:
- 5.14 kB
- SHA256:
- f34854d7258469ace480c87058be7f84dad3566e2f5dfea38f9597034bc14be2
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