Spaces:
Running
Running
Update README.md
Browse files
README.md
CHANGED
@@ -1,14 +1,25 @@
|
|
1 |
-
|
2 |
-
|
3 |
-
|
4 |
-
|
5 |
-
|
6 |
-
|
7 |
-
|
8 |
-
|
9 |
-
|
10 |
-
|
11 |
-
|
12 |
-
|
13 |
-
|
14 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
Try out this Space to classify emotions from English text. The model was trained on 6 diverse datasets and predicts Ekman's 6 basic emotions, plus a neutral class:
|
2 |
+
|
3 |
+
- anger π€¬
|
4 |
+
- disgust π€’
|
5 |
+
- fear π¨
|
6 |
+
- joy π
|
7 |
+
- neutral π
|
8 |
+
- sadness π
|
9 |
+
- surprise π²
|
10 |
+
|
11 |
+
The model is a fine-tuned checkpoint of RoBERTa-large. For further details on this emotion model, please refer to the model card of its DistilRoBERTa version. Find the model here https://huggingface.co/j-hartmann/emotion-english-roberta-large
|
12 |
+
|
13 |
+
More info:
|
14 |
+
|
15 |
+
- title: Emotion Classification
|
16 |
+
- emoji: π
|
17 |
+
- colorFrom: red
|
18 |
+
- colorTo: green
|
19 |
+
- sdk: gradio
|
20 |
+
- sdk_version: 5.31.0
|
21 |
+
- app_file: app.py
|
22 |
+
- pinned: false
|
23 |
+
- license: mit
|
24 |
+
- short_description: Text-based affective computing
|
25 |
+
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|