File size: 517 Bytes
0a1b40d 22ed19a 1dd5766 efc330d 24ca1a0 efc330d 24ca1a0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 |
---
datasets:
- AiLab-IMCS-UL/twitter_emotions-en
base_model:
- distilbert/distilbert-base-uncased
pipeline_tag: text-classification
---
# ๐ Summary
emotion classification model with distilbert
# ๐ Quick start (Python)
### Installation
```bash
pip install transformers torch
```
### Basic Usage
```python
from transformers import pipeline
classifier = pipeline("text-classification", model="yoon-eunbin/distilbert-emotion-classification-model")
result = classifier("I'm so happy today!")
print(result)
```
|