Instructions to use Johnnyboiiii/Doge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Johnnyboiiii/Doge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Johnnyboiiii/Doge") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Johnnyboiiii/Doge") model = AutoModelForImageClassification.from_pretrained("Johnnyboiiii/Doge", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Johnnyboiiii/Doge: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/Johnnyboiiii/Doge/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Johnnyboiiii/Doge/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Johnnyboiiii/Doge/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- 3f5567c4ee617f260e043e7e29d8afc88904b98a4e1d54c4c5992c4c31a7c01f
- Size of remote file:
- 343 MB
- SHA256:
- 90e7ae2ab9c3d28778e049fda2adaa9c5dbf9b40882544cab43e782e7740609e
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