Text Classification
Transformers
PyTorch
English
ma2za/roberta-emotion
feature-extraction
Emotion Classification
custom_code
Eval Results (legacy)
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ma2za/roberta-emotion", trust_remote_code=True, dtype="auto")Quick Links
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Dataset used to train ma2za/roberta-emotion
Evaluation results
- Accuracy on emotiontest set self-reported0.933
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ma2za/roberta-emotion", trust_remote_code=True)