Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Augusto777/vit-base-patch16-224-RU2-40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Augusto777/vit-base-patch16-224-RU2-40 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Augusto777/vit-base-patch16-224-RU2-40") 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("Augusto777/vit-base-patch16-224-RU2-40") model = AutoModelForImageClassification.from_pretrained("Augusto777/vit-base-patch16-224-RU2-40", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 30
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343230128
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:364dfcf0733fcc91c78f1bb6734d8d44082913b6cf237e0b7ae83e217bea0290
|
| 3 |
size 343230128
|
runs/May23_17-20-58_DESKTOP-SKBE9FB/events.out.tfevents.1716506460.DESKTOP-SKBE9FB.4988.0
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 sha256:8768da80731de27124cad3dcf6512af2e6c2407aa0a5510f9cbd1454e241eb66
|
| 3 |
+
size 33131
|