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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 977395d92c216e95583a299110f1ba86ee49ca2cd0f1c7adf224393f3da118bf
- Size of remote file:
- 1.06 kB
- SHA256:
- cde7e9442d417bc65f8bac8f1267e42e2bd5cbcb60c34f92926e7ff3a3b92a3d
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