Instructions to use prithivMLmods/Multisource-121-DomainNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Multisource-121-DomainNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Multisource-121-DomainNet") 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/Multisource-121-DomainNet") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Multisource-121-DomainNet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c670e2935dd17cbfc1b1947855ee0b86c10af7c2f0a156f9e78752b041c6a494
- Size of remote file:
- 5.3 kB
- SHA256:
- 4eff7895602b654dfe6fc27f9bfd70976ed586448b1d172d1abb6cf2d3bccf43
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