Instructions to use sudo-s/exper_batch_8_e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/exper_batch_8_e4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/exper_batch_8_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_8_e4") model = AutoModelForImageClassification.from_pretrained("sudo-s/exper_batch_8_e4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0db46e312e74685ec88a14ea6b0c9863503db910ff3d616e95735cfa3f3fc306
- Size of remote file:
- 2.94 kB
- SHA256:
- e97d16df8114507d9256f408e2b5afad98ce228091af665272659abd9ae2df85
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