Instructions to use YIMMYCRUZ/vit-model-ojas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YIMMYCRUZ/vit-model-ojas with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="YIMMYCRUZ/vit-model-ojas")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("YIMMYCRUZ/vit-model-ojas") model = AutoModelForImageClassification.from_pretrained("YIMMYCRUZ/vit-model-ojas") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:faf4de9ec1e580ba57ac47ddaa998a0af038ad5339aaaf7d328864befb186d82
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size 343227052
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