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:
- 29df990c57792ed0736698f559ada4a9fc38ed14ad112dcad08b3fe5b936336a
- Size of remote file:
- 2.94 kB
- SHA256:
- 43a8f15f8e2f9552caa3125fcbb4bba54f2eb7c21683d3d377550b7bc79301d0
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