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
File size: 134 Bytes
65b8e35 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a4ac4726bdd34ece8a74f69586c772c42aee8e6b264055696bab934d5c53fbe0
size 345650937
|