Instructions to use CondadosAI/mask2former_swin_tiny_coco_instance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CondadosAI/mask2former_swin_tiny_coco_instance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="CondadosAI/mask2former_swin_tiny_coco_instance")# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("CondadosAI/mask2former_swin_tiny_coco_instance") model = Mask2FormerForUniversalSegmentation.from_pretrained("CondadosAI/mask2former_swin_tiny_coco_instance") - Notebooks
- Google Colab
- Kaggle
docs: add NOTICE attribution file per Apache-2.0 s4(b)
Browse files
NOTICE
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Mask2Former Swin-Tiny (COCO Instance) weights — acaua mirror
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============================================================
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This product includes model weights developed by the following parties:
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- Meta AI Research / FAIR (Mask2Former authors)
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Reference implementation and released weights.
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https://github.com/facebookresearch/Mask2Former
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Cheng et al., "Masked-attention Mask Transformer for Universal
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Image Segmentation", CVPR 2022, arXiv:2112.01527.
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- Swin Transformer authors
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Liu et al., "Swin Transformer: Hierarchical Vision Transformer
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using Shifted Windows", ICCV 2021, arXiv:2103.14030.
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- Hugging Face (integration into 🤗 Transformers, weight conversion,
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model card on facebook/mask2former-swin-tiny-coco-instance)
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https://huggingface.co/facebook/mask2former-swin-tiny-coco-instance
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License notes
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-------------
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The reference implementation at facebookresearch/Mask2Former is released
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under the MIT License. The pretrained weights redistributed here (as hosted
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upstream on facebook/mask2former-swin-tiny-coco-instance) are declared
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Apache-2.0 in the upstream model card YAML. This mirror preserves that
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declaration.
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Attribution chain
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-----------------
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Mirrored on 2026-04-17 by CondadosAI from:
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repo: facebook/mask2former-swin-tiny-coco-instance
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commit: 22c4a2f15dc88149b8b8d9f4d42c54431fbd66f6
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date: 2023-09-11
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No weights or configuration have been modified. This mirror exists to pin
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a specific revision for reproducible, audit-clean use by the acaua library
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(https://github.com/CondadosAI/acaua).
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License
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-------
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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