Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use goodcasper/vit_itri_2class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use goodcasper/vit_itri_2class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="goodcasper/vit_itri_2class") 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("goodcasper/vit_itri_2class") model = AutoModelForImageClassification.from_pretrained("goodcasper/vit_itri_2class") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1213261264
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:83e4f76f6fb51ad3ddf3d8794b41cf11715d9d23b24932facd068c1990d860e8
|
| 3 |
size 1213261264
|
runs/Jul17_23-55-55_itri-kiosk-pt/events.out.tfevents.1752767761.itri-kiosk-pt.1143344.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:75928e7c827b01ff27d871cab1287cf545d95e4e2c2bcb8dd26e5a00d0a3a986
|
| 3 |
+
size 5646
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5713
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9f26b9866663337ba0d63fa98bb4707d444a04335e84da7a790745deb1c05bd9
|
| 3 |
size 5713
|