Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use mrisdi/emotion_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrisdi/emotion_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mrisdi/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("mrisdi/emotion_classification") model = AutoModelForImageClassification.from_pretrained("mrisdi/emotion_classification") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 43
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 sha256:61055e684c3e6e1d8098b7ec53073feb6618e7b516b73aa4176f4427b4bb3f43
|
| 3 |
size 343242432
|
runs/Sep06_06-51-18_871a6b666aea/events.out.tfevents.1725605496.871a6b666aea.1676.0
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:e832fac90f9ac5e9f5e93b68df414fc543275c4c46ed29acbf8ee57d3ae70033
|
| 3 |
+
size 28007
|