Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use SoulPerforms/visual_emotion_classification_vit_base_finetunned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SoulPerforms/visual_emotion_classification_vit_base_finetunned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SoulPerforms/visual_emotion_classification_vit_base_finetunned") 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("SoulPerforms/visual_emotion_classification_vit_base_finetunned") model = AutoModelForImageClassification.from_pretrained("SoulPerforms/visual_emotion_classification_vit_base_finetunned") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2500
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 sha256:4e83111089b0424cf5f01f392da46738d4e908d6ec2926333988e8301b726ba9
|
| 3 |
size 343242432
|
runs/Feb16_02-44-04_e2d94e137fbf/events.out.tfevents.1708051462.e2d94e137fbf.2207.0
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 sha256:6f1ae42c5b7170ce6cc85858deadc08a6938b95dd8a9cf53754619330a3c246a
|
| 3 |
+
size 20459
|