Instructions to use microsoft/beit-base-patch16-224-pt22k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/beit-base-patch16-224-pt22k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/beit-base-patch16-224-pt22k") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, BeitForMaskedImageModeling processor = AutoImageProcessor.from_pretrained("microsoft/beit-base-patch16-224-pt22k") model = BeitForMaskedImageModeling.from_pretrained("microsoft/beit-base-patch16-224-pt22k") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- .gitattributes +1 -0
- model.safetensors +3 -0
.gitattributes
CHANGED
|
@@ -16,3 +16,4 @@
|
|
| 16 |
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 17 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 18 |
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 16 |
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 17 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 18 |
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
model.safetensors filter=lfs diff=lfs merge=lfs -text
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:18b08989cad41adba4900055a11899c5d28b1d22b1fd5198c126eb2007ea000e
|
| 3 |
+
size 368198186
|