Instructions to use facebook/mask2former-swin-base-ade-semantic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mask2former-swin-base-ade-semantic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="facebook/mask2former-swin-base-ade-semantic")# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("facebook/mask2former-swin-base-ade-semantic") model = Mask2FormerForUniversalSegmentation.from_pretrained("facebook/mask2former-swin-base-ade-semantic") - Notebooks
- Google Colab
- Kaggle
Commit ·
23a817b
1
Parent(s): 23f0bab
Adding `safetensors` variant of this model (#2)
Browse files- Adding `safetensors` variant of this model (f13e26ecf76771dafaeda8a03834739111cd99e0)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:09e2ba3efa9f18fa6a313c88ef7d862fc15da10ddb4bbc034df54160089e130e
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size 431785608
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