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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c40f50d37e1af764cefa1fa663b16f6be92577fa631b77f433abe94a92f2df86
- Size of remote file:
- 86.7 MB
- SHA256:
- 716896587ca8c7c8295de39adaa2b2fe9a1a96888c8f200e59825fbd6866eff2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.