Text Classification
Transformers
Safetensors
English
bert
coping
emotions
microaggressions
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("coping-emotions/bert-coping-full")
model = AutoModelForSequenceClassification.from_pretrained("coping-emotions/bert-coping-full")Quick Links
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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Model tree for coping-emotions/bert-coping-full
Base model
google-bert/bert-base-uncased
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="coping-emotions/bert-coping-full")