Image Classification
Transformers
PyTorch
English
vision
damage-detection
classification
vit
household-items
Instructions to use narinzar/damage-classifier-multi-task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use narinzar/damage-classifier-multi-task with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="narinzar/damage-classifier-multi-task") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("narinzar/damage-classifier-multi-task", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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size 343265116
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