Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Yudsky/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yudsky/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Yudsky/image_classification") 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("Yudsky/image_classification") model = AutoModelForImageClassification.from_pretrained("Yudsky/image_classification") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 20
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 347523416
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:72c177d547594bb34eacb9790aa749fa75c646d09ebe92c8aa7b716a708835e6
|
| 3 |
size 347523416
|
runs/Sep06_11-44-01_b5b5a316ba07/events.out.tfevents.1725623050.b5b5a316ba07.1210.12
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:d10ca9d5282e3712b1ac0829ed63042ce8efcc848bd9cec23e920238eeb998fa
|
| 3 |
+
size 16110
|