Instructions to use NabeelShar/emotion-dectect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NabeelShar/emotion-dectect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="NabeelShar/emotion-dectect") 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("NabeelShar/emotion-dectect") model = AutoModelForImageClassification.from_pretrained("NabeelShar/emotion-dectect") - Notebooks
- Google Colab
- Kaggle
Commit ·
aee9949
1
Parent(s): 3ef97e5
Update README.md
Browse files
README.md
CHANGED
|
@@ -10,7 +10,7 @@ metrics:
|
|
| 10 |
- recall
|
| 11 |
- f1
|
| 12 |
model-index:
|
| 13 |
-
- name:
|
| 14 |
results:
|
| 15 |
- task:
|
| 16 |
name: Image Classification
|
|
|
|
| 10 |
- recall
|
| 11 |
- f1
|
| 12 |
model-index:
|
| 13 |
+
- name: emotion-dectect
|
| 14 |
results:
|
| 15 |
- task:
|
| 16 |
name: Image Classification
|