Instructions to use jinhong426/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jinhong426/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="jinhong426/test")# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("jinhong426/test") model = Mask2FormerForUniversalSegmentation.from_pretrained("jinhong426/test") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:27db3e2fddb7968530a32bd543f764fffdebf0640b1e42713452278acc95a40e
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size 866239320
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