Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use hilmiatha/ViT-Emotion-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hilmiatha/ViT-Emotion-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hilmiatha/ViT-Emotion-Classifier") 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("hilmiatha/ViT-Emotion-Classifier") model = AutoModelForImageClassification.from_pretrained("hilmiatha/ViT-Emotion-Classifier") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 18
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 sha256:069e111fc4b26129927cb7133939eb6a233df1aabedfafed334f09841395db8b
|
| 3 |
size 343242432
|
runs/Jun04_05-09-50_3c295681dd20/events.out.tfevents.1717477796.3c295681dd20.185.0
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:f74c045dad3b0b71a734114f7b136e348a35cc9f9c4322566e76811c0d5ebc98
|
| 3 |
+
size 11077
|