Instructions to use microsoft/swin-large-patch4-window12-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/swin-large-patch4-window12-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/swin-large-patch4-window12-384") 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("microsoft/swin-large-patch4-window12-384") model = AutoModelForImageClassification.from_pretrained("microsoft/swin-large-patch4-window12-384") - Notebooks
- Google Colab
- Kaggle
Commit ·
9ac08d2
1
Parent(s): c9c0979
Add TF model
Browse files- tf_model.h5 +3 -0
tf_model.h5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4632705e6d9f26aec307856ec6e0874ed81c4a88eff4c0da97e5003a3fda3828
|
| 3 |
+
size 787524712
|