Instructions to use namelessai/Crashly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use namelessai/Crashly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="namelessai/Crashly") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("namelessai/Crashly", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- Crashly.tflite +3 -0
- metadata.csv +2 -0
Crashly.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:4a475e620e697edae1d660b7a5e5a6da0dbe517a57892d10956c16aa044c9393
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size 8871040
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metadata.csv
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name,input_shape,labels
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"Crashly","(None, 224, 224, 3)","car crash,no car crash"
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