Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use grhaputra/emotion_image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grhaputra/emotion_image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="grhaputra/emotion_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("grhaputra/emotion_image_classification") model = AutoModelForImageClassification.from_pretrained("grhaputra/emotion_image_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
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:ab84c4a78ac4d2a30ac4d3ad9173564e96ce848d8b0634c7a0ed5fb9ba4c44a2
|
| 3 |
size 343242432
|
runs/Feb16_10-39-16_dd99ca2d4556/events.out.tfevents.1708079962.dd99ca2d4556.715.13
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:cd39d9957ff6f8eb49d14f4e406b212d3da17ce32cbb2540ab1feb3107adee44
|
| 3 |
+
size 6186
|