Instructions to use EulerianKnight/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EulerianKnight/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="EulerianKnight/results") 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("EulerianKnight/results") model = AutoModelForImageClassification.from_pretrained("EulerianKnight/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from EulerianKnight/results: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/EulerianKnight/results/resolve/main/training_args.bin
- Command line
-
hf download hf://EulerianKnight/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/EulerianKnight/results/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 0b40c5975bcb5444e246132c9a15d91a2044f3932610a73e3a292351af904b8c
- Size of remote file:
- 5.24 kB
- SHA256:
- b9a67775bc8bbadfe0975ac255d68dc5c9d4a493a91c767157f1b569fa332712
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