Instructions to use JoshuaKelleyDs/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoshuaKelleyDs/test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="JoshuaKelleyDs/test1") 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("JoshuaKelleyDs/test1") model = AutoModelForImageClassification.from_pretrained("JoshuaKelleyDs/test1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from JoshuaKelleyDs/test1: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/JoshuaKelleyDs/test1/resolve/main/training_args.bin
- Command line
-
hf download hf://JoshuaKelleyDs/test1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/JoshuaKelleyDs/test1/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- bc403309a7390c63635ea8cf263826934efe9aad0a42e9ee1b95669e92010423
- Size of remote file:
- 5.11 kB
- SHA256:
- 46d496824e07cc56bf3c6bb3583c95a678ca24098221f76f5cf06f1f6792498e
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