Downloads · 30 days
11
8% of all-time downloads
bert-emotion
KEERTHANA6805/bert-emotion
bert-emotion is a text classification model from KEERTHANA6805. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
This model classifies text into 6 emotion categories: - joy - sadness - anger - fear - love - surprise
All-time downloads
139
Public
Parameters
109M
438 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Oct 29, 2025
- Updated
- Oct 29, 2025
- SHA
- 0377fbca
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
BERT Emotion Classifier
This model classifies text into 6 emotion categories:
- joy
- sadness
- anger
- fear
- love
- surprise
Model: bert-base-uncased
Dataset: emotion (Hugging Face datasets library)
✅ Usage Example
from transformers import pipeline
classifier = pipeline("text-classification", model="KEERTHANA6805/bert-emotion")
classifier("I am so happy today!")
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- en
- Created
- Oct 29, 2025
- Updated
- Oct 29, 2025