Instructions to use csr2000/UCF_Crime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csr2000/UCF_Crime with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="csr2000/UCF_Crime") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("csr2000/UCF_Crime") model = AutoModelForImageClassification.from_pretrained("csr2000/UCF_Crime") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45ef0aecb31473c329feffe0cca909f9cffd76e7596c5feaf57455eaf39d3e77
- Size of remote file:
- 343 MB
- SHA256:
- 61ab938a03614c93b41688b9c3283851221c09c739a4bf505ccd2286212c2305
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