Instructions to use NawinCom/Check-FFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NawinCom/Check-FFT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="NawinCom/Check-FFT") 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("NawinCom/Check-FFT") model = AutoModelForImageClassification.from_pretrained("NawinCom/Check-FFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b3377bedc18b813c1432d6d40a1e495aefdbac9444636c4c67f2d994cc2e12f
- Size of remote file:
- 343 MB
- SHA256:
- 2ca5d0ea4e851c16392a4ae0dd42f131b144fe2b24f74283460517c76e181f0f
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