Instructions to use NadiaHolmlund/Semester_Project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NadiaHolmlund/Semester_Project with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="NadiaHolmlund/Semester_Project") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("NadiaHolmlund/Semester_Project") model = AutoModelForImageClassification.from_pretrained("NadiaHolmlund/Semester_Project") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cb14b25dba4e11868e67bb3de44abe283d8b8a3ab7e3cfcff5d963ee69d79da
- Size of remote file:
- 346 MB
- SHA256:
- a4ac4726bdd34ece8a74f69586c772c42aee8e6b264055696bab934d5c53fbe0
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