Instructions to use nikkopg/110123-deeplabv3-mobilevit-x-small-finetuned-stucktip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikkopg/110123-deeplabv3-mobilevit-x-small-finetuned-stucktip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nikkopg/110123-deeplabv3-mobilevit-x-small-finetuned-stucktip") 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("nikkopg/110123-deeplabv3-mobilevit-x-small-finetuned-stucktip") model = AutoModelForImageClassification.from_pretrained("nikkopg/110123-deeplabv3-mobilevit-x-small-finetuned-stucktip", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de17718b85c7097ae6632498ca31a9e4d6a93120856eff024efcdeb26151b550
- Size of remote file:
- 4.6 kB
- SHA256:
- 8e1ab046d065718fb24a170c1403fde135dcc952eb2b3c6f76cacb30c5103d28
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