Instructions to use james-burton/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use james-burton/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="james-burton/test") 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("james-burton/test") model = AutoModelForImageClassification.from_pretrained("james-burton/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download wandb/debug.log from james-burton/test: direct link, hf CLI and curl.
- Browser
- Download file 787 kB
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https://huggingface.co/james-burton/test/resolve/main/wandb/debug.log
- Command line
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hf download hf://james-burton/test/wandb/debug.log
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curl -L -o debug.log https://huggingface.co/james-burton/test/resolve/main/wandb/debug.log
787 kB
File too large to display, you can check the raw version instead.