Text Classification
Transformers
Safetensors
English
bert
emotion
classification
emojis
emotions
v1.0
sentiment-analysis
nlp
lightweight
chatbot
social-media
mental-health
short-text
emotion-detection
real-time
expressive
ai
machine-learning
english
inference
edge-ai
smart-replies
tone-analysis
Instructions to use boltuix/bert-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boltuix/bert-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="boltuix/bert-emotion")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("boltuix/bert-emotion") model = AutoModelForSequenceClassification.from_pretrained("boltuix/bert-emotion", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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Verified signatureπ feat: upload BERT-Emoji model and tokenizer assets for initial release π¦ Included: - π οΈ config.json β Model architecture and class mappings - π§ model.safetensors β Trained weights in safetensors format - π§© special_tokens_map.json β Special token definitions - βοΈ tokenizer_config.json β Tokenizer settings - π€ vocab.txt β BERT tokenizer vocabulary π§ Model: BERT-Emoji v1.0 π·οΈ Task: Emotion classification (13 classes) π Language: English π Library: π€ Transformers β Ready for inference and Hugging Face deployment π59ec8a3 -
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Verified signature--- license: apache-2.0 language: - en metrics: - precision - recall - f1 pipeline_tag: text-classification library_name: transformers tags: - emotion - classification - text-classification - bert - emojis - v1.0 --- # π BERT-Emoji Emotion Classifier ## π― Overview A lightweight, emoji-powered emotion classification model fine-tuned for **short text sentiment/emotion detection** using BERT architecture. Each input text is tagged with one of **13 rich emotional categories**, mapped to expressive emojis π. --- ## π« Supported Emotions | Emotion | Emoji | |------------|-------| | Sadness | π’ | | Anger | π | | Love | β€οΈ | | Surprise | π² | | Fear | π± | | Happiness | π | | Neutral | π | | Disgust | π€’ | | Shame | π | | Guilt | π | | Confusion | π | | Desire | π₯ | | Sarcasm | π | --- ## π Use Cases - π§ Chatbot emotion understanding - π Social media sentimentβ¦39da8c9 -
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