Text Classification
Transformers
Safetensors
English
emoaxis
feature-extraction
multi-label-classification
fine-grained
emotion-classification
custom_code
Eval Results (legacy)
Instructions to use Hidden-States/roberta-base-semeval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hidden-States/roberta-base-semeval with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hidden-States/roberta-base-semeval", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hidden-States/roberta-base-semeval", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K