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 13
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:a196ca8e4f7f33e1e12c61a9becddb4e9889b8d5b28ad379fdef467fbdaaabd1
|
| 3 |
size 347523416
|
runs/Sep06_12-06-38_b5b5a316ba07/events.out.tfevents.1725624405.b5b5a316ba07.1210.15
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:dca7b4d8ebba4852571fdb9e101dfff189225d731418c64e16d147007a26b22f
|
| 3 |
+
size 15214
|