Instructions to use sudo-s/exper_batch_16_e8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/exper_batch_16_e8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/exper_batch_16_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_16_e8") model = AutoModelForImageClassification.from_pretrained("sudo-s/exper_batch_16_e8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4291ed111a8cb9dfa32c4ee9513d5467be434a3cf777ace4f273772b88b787e0
- Size of remote file:
- 344 MB
- SHA256:
- cc0854e1ae9c2a4f06d61c0573831cce5ff913b3e6cdd5c2e70216f3703d3267
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