Text Classification
Transformers
Safetensors
PyTorch
English
roberta
citd@uit-ai-team-lab
mixture-of-experts
sentiment-analysis
semeval-2026-task-2
text-embeddings-inference
Instructions to use TheSon2202/Temporal-MoEs-RoBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheSon2202/Temporal-MoEs-RoBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TheSon2202/Temporal-MoEs-RoBERTa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TheSon2202/Temporal-MoEs-RoBERTa") model = AutoModelForSequenceClassification.from_pretrained("TheSon2202/Temporal-MoEs-RoBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K