Instructions to use tempmag/example-015 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tempmag/example-015 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="tempmag/example-015") 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("tempmag/example-015") model = AutoModelForImageClassification.from_pretrained("tempmag/example-015", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tempmag/example-015: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/tempmag/example-015/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://tempmag/example-015/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tempmag/example-015/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- bf46145f2df25f3a3fea3c453908109f96d39a18bd43a14a7bc9d8a2780e1f60
- Size of remote file:
- 343 MB
- SHA256:
- 49d082b26bca405a55f2d5d4c99b735845af9680c442d490cd8669fc32590096
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