Instructions to use sudo-s/exper_batch_32_e8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/exper_batch_32_e8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/exper_batch_32_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_32_e8") model = AutoModelForImageClassification.from_pretrained("sudo-s/exper_batch_32_e8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a01b15a80a51957dcca5f00a59ee0c9e4f6cb646fd784f8431b9d10b2b2ff3c2
- Size of remote file:
- 344 MB
- SHA256:
- 1f810bc83256387b4ea70ade0a65eaaad65a340f5371698497c386f658eaa156
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