Instructions to use sudo-s/exper_batch_16_e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/exper_batch_16_e4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/exper_batch_16_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_16_e4") model = AutoModelForImageClassification.from_pretrained("sudo-s/exper_batch_16_e4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 637c23870b9e251f12b87ec4d74bc33942a74b97fb608181ad26a5dfa5e0ba12
- Size of remote file:
- 344 MB
- SHA256:
- e1fd3efe88d4e7cc8efcb316041f6f78604ed7ec51c1b920bb47650e8d649357
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