Text Classification
Transformers
Safetensors
bert
emotion
classification
emojis
emotions
v1.0
sentiment-analysis
nlp
chatbot
social-media
mental-health
short-text
emotion-detection
expressive
ai
machine-learning
inference
edge-ai
smart-replies
tone-analysis
Instructions to use AnasAlokla/multilingual_go_emotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnasAlokla/multilingual_go_emotions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnasAlokla/multilingual_go_emotions")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnasAlokla/multilingual_go_emotions") model = AutoModelForSequenceClassification.from_pretrained("AnasAlokla/multilingual_go_emotions") - Inference
- Notebooks
- Google Colab
- Kaggle
Ctrl+K