Instructions to use spectrewolf8/AIGM_Swin_V2_acc0.97_V1.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spectrewolf8/AIGM_Swin_V2_acc0.97_V1.4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="spectrewolf8/AIGM_Swin_V2_acc0.97_V1.4") 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("spectrewolf8/AIGM_Swin_V2_acc0.97_V1.4") model = AutoModelForImageClassification.from_pretrained("spectrewolf8/AIGM_Swin_V2_acc0.97_V1.4") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 1
Model tree for spectrewolf8/AIGM_Swin_V2_acc0.97_V1.4
Unable to build the model tree, the base model loops to the model itself. Learn more.