Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Dimasnoufal/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dimasnoufal/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Dimasnoufal/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("Dimasnoufal/image_classification") model = AutoModelForImageClassification.from_pretrained("Dimasnoufal/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 343242432
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9a97030baa0636ef9dfffb3b3612f8191a845d92062fed4ab2d3ddd01f274b47
|
| 3 |
size 343242432
|
runs/Feb10_06-05-03_b8ca1d4cb4e1/events.out.tfevents.1707545815.b8ca1d4cb4e1.258.1
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:f6c949bc662697589b55c5ecfedeed1801a8703852daed0bdf0f4b2e01b96ad0
|
| 3 |
+
size 11313
|