Instructions to use InspiratioNULL/image-safety-classifier-s-CoreML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use InspiratioNULL/image-safety-classifier-s-CoreML with timm:
import timm model = timm.create_model("hf-hub:InspiratioNULL/image-safety-classifier-s-CoreML", pretrained=True) - Transformers
How to use InspiratioNULL/image-safety-classifier-s-CoreML with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="InspiratioNULL/image-safety-classifier-s-CoreML") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InspiratioNULL/image-safety-classifier-s-CoreML", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from InspiratioNULL/image-safety-classifier-s-CoreML: direct link, hf CLI and curl.
- Browser
- Download file 22.7 MB
-
https://huggingface.co/InspiratioNULL/image-safety-classifier-s-CoreML/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://InspiratioNULL/image-safety-classifier-s-CoreML/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/InspiratioNULL/image-safety-classifier-s-CoreML/resolve/main/pytorch_model.bin
22.7 MB
- Xet hash:
- 70202176d188a4fc0bde6c89cdb85304ed08814a75d3edfdbb5fbe00b33400f1
- Size of remote file:
- 22.7 MB
- SHA256:
- a7489eb5ed3ee2217b7d6653de7608bd75115846f2e5e431ac5dc9d2a861f638
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