Instructions to use sudo-s/exper_batch_8_e8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/exper_batch_8_e8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/exper_batch_8_e8") 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("sudo-s/exper_batch_8_e8") model = AutoModelForImageClassification.from_pretrained("sudo-s/exper_batch_8_e8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc22ffd171f730ec93ae025b5c1edb0579d92904e0c8bb1050a6b8c589a5cb56
- Size of remote file:
- 2.94 kB
- SHA256:
- dcfd87042272e0cbf01c3376b3617cc4f97afaae5639cca8da17bd0ba4c1924e
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