Instructions to use ahmedesmail16/Train-Augmentation-vit-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahmedesmail16/Train-Augmentation-vit-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ahmedesmail16/Train-Augmentation-vit-base") 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("ahmedesmail16/Train-Augmentation-vit-base") model = AutoModelForImageClassification.from_pretrained("ahmedesmail16/Train-Augmentation-vit-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 9
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343254736
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5025eae54e8d2fe2f61c23e4f1b9f36020f8578d59c566eb9c826be0f280a95a
|
| 3 |
size 343254736
|
runs/May18_02-07-24_c7407e18feef/events.out.tfevents.1715998074.c7407e18feef.34.0
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:b176b5a7bb10707d52549fb576e405e6cf308bd8d2bf75b8c3d66b167e4c3795
|
| 3 |
+
size 28225
|