Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use malifiahm/emotion_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malifiahm/emotion_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="malifiahm/emotion_classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("malifiahm/emotion_classification") model = AutoModelForImageClassification.from_pretrained("malifiahm/emotion_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 7
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:e3e0902a8526944dd1eaa44276896c7c7256f187f8b5807e58946eed2519c739
|
| 3 |
size 343242432
|
runs/Feb08_18-24-44_abb6c9310e78/events.out.tfevents.1707416687.abb6c9310e78.33955.0
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:d0ce9b7346c32bb83a5b5ac4e69c9ef59e4445044ae3d7ec9a9528c53c412014
|
| 3 |
+
size 6715
|