Instructions to use shrikant11/segment2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shrikant11/segment2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="shrikant11/segment2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("shrikant11/segment2") model = AutoModelForImageClassification.from_pretrained("shrikant11/segment2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
b78f08f
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Parent(s): c08651c
First model version
Browse files- segformer_model.pth +3 -0
segformer_model.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:1dc36919a8261c799057a67c7f837521fc5d245e92d4b0c49a61a05e8582f01c
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size 338941109
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