Instructions to use yujiepan/tiny-random-swin-patch4-window7-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yujiepan/tiny-random-swin-patch4-window7-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="yujiepan/tiny-random-swin-patch4-window7-224")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("yujiepan/tiny-random-swin-patch4-window7-224") model = AutoModel.from_pretrained("yujiepan/tiny-random-swin-patch4-window7-224", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (6c56b81f0bbb5263b83cd1fdacaf614491b52d7d) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>b0cd6f4
-
upload model
a7da3f1
-
initial commit
657dc3e