# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("coping-emotions/roberta-coping-reaction")
model = AutoModelForSequenceClassification.from_pretrained("coping-emotions/roberta-coping-reaction", device_map="auto")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Please cite our paper if you use this model
Troiano, E., Labat, S., Stranisci, M. A., Damiano, R., Patti, V., & Klinger, R. (2024, November). Dealing with Controversy: An Emotion and Coping Strategy Corpus Based on Role Playing. In Findings of the Association for Computational Linguistics: EMNLP 2024 (pp. 1634-1658).
license: apache-2.0
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="coping-emotions/roberta-coping-reaction")