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 9
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 sha256:04c5346a2cb9bf80f7b659d50a1ffb0f4fac8939798401ae27daf5e02fbc632d
|
| 3 |
size 343242432
|
runs/Feb09_12-59-03_d4057315a0e6/events.out.tfevents.1707483556.d4057315a0e6.1062.5
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 sha256:6b671ad3c435cd4c6f15c421972b31b962951eb9e16d7f9eb09d00d68e4b680f
|
| 3 |
+
size 7437
|