Instructions to use NawinCom/hack5-FFT-TIME with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NawinCom/hack5-FFT-TIME with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="NawinCom/hack5-FFT-TIME") 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/hack5-FFT-TIME") model = AutoModelForImageClassification.from_pretrained("NawinCom/hack5-FFT-TIME", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9da2a0222c7ec60e96cb8c84a0858b8d9f34ac082827a289a5b7a3fa64a1fba2
- Size of remote file:
- 343 MB
- SHA256:
- 48cd39d455c0e58f98ac90a0fab879e1790f4e7a50f3059f28572c204b23def8
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