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 ·
e11d46e
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Parent(s): 4981fdd
First model version
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e871ba88d59e5a3207e72a3f44aa1c58e364cdc69ce9ff94a506ee7b62808fbe
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size 339089545
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