Instructions to use mattmdjaga/segformer_b2_clothes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mattmdjaga/segformer_b2_clothes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="mattmdjaga/segformer_b2_clothes")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("mattmdjaga/segformer_b2_clothes") model = SegformerForSemanticSegmentation.from_pretrained("mattmdjaga/segformer_b2_clothes") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
257c763
1
Parent(s): c19219e
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (b5d9ae18d77244a2b56d29d46a775f2e9389f5c6)
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 sha256:8f86fd90c567afd4370b3cc3a7e81ed767a632b2832a738331af660acc0c4c68
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size 109493236
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