Instructions to use venuv62/vit-base-patch16-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use venuv62/vit-base-patch16-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="venuv62/vit-base-patch16-224") 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("venuv62/vit-base-patch16-224") model = AutoModelForImageClassification.from_pretrained("venuv62/vit-base-patch16-224") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343268717
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ce3886e6fa597b2d45d0d57921bb1d5dacfff19dcd03361f2f143c7901c58e95
|
| 3 |
size 343268717
|
runs/Dec14_19-09-47_f01ad3ef31f3/events.out.tfevents.1671045001.f01ad3ef31f3.2400.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f026f936d147afbad97727b9921b7bdedcd0e771764e6cbce07269b1aefb0c92
|
| 3 |
+
size 9321
|