Instructions to use darklorddad/Model-SwinV2-Tiny-83 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darklorddad/Model-SwinV2-Tiny-83 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="darklorddad/Model-SwinV2-Tiny-83") 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("darklorddad/Model-SwinV2-Tiny-83") model = AutoModelForImageClassification.from_pretrained("darklorddad/Model-SwinV2-Tiny-83", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload 15 files
Verified signature0ab1fd4 -
Upload 5 files
Verified signature7c29739 -
Upload preprocessor_config.json
Verified signature72bcc55 -
Upload 9 files
Verified signature4be834e -
initial commit
Verified signature61e3884