Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use yangswei/visual-emotion-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yangswei/visual-emotion-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="yangswei/visual-emotion-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("yangswei/visual-emotion-classification") model = AutoModelForImageClassification.from_pretrained("yangswei/visual-emotion-classification") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 11
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 sha256:2f37138ae9b6579075c52e2ec8feb07880344c2adf1cdc7c5608f1821fde5460
|
| 3 |
size 343242432
|
runs/Feb08_07-22-24_3bb50a863581/events.out.tfevents.1707376955.3bb50a863581.3767.7
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:d29462de2a9e38b6c2ddeb9add0b09f1df404c543d5390cb0327e93f5496c490
|
| 3 |
+
size 8095
|