Instructions to use sudo-s/exper_batch_32_e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/exper_batch_32_e4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/exper_batch_32_e4") 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_32_e4") model = AutoModelForImageClassification.from_pretrained("sudo-s/exper_batch_32_e4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcaf0ad6579584f624db20a8c25eb96c0c7b3da6b9e2914df0879c2f0cf66bff
- Size of remote file:
- 344 MB
- SHA256:
- 3de6bbf70e1745d1df25a6b41a056956e3bc50c9504dc04e34125f779814e77f
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