Instructions to use prithivMLmods/imagenet-50-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/imagenet-50-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/imagenet-50-subset") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/imagenet-50-subset") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/imagenet-50-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebc21fc9b41904dda7b59ae71ef917fc2a4760682feca0efcd8d51894646289c
- Size of remote file:
- 687 MB
- SHA256:
- 28a396bb52fcb662e6361d1463185cf07d12ab2026497708a727e7566dc801cd
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