Text Classification
Transformers
Safetensors
English
roberta
coping
emotions
microaggressions
text-embeddings-inference
Instructions to use coping-emotions/roberta-coping-replies with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coping-emotions/roberta-coping-replies with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="coping-emotions/roberta-coping-replies")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("coping-emotions/roberta-coping-replies") model = AutoModelForSequenceClassification.from_pretrained("coping-emotions/roberta-coping-replies", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 545 Bytes
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license: mit
datasets:
- coping-emotions/roleplay-corpus
language:
- en
base_model:
- FacebookAI/roberta-base
pipeline_tag: text-classification
tags:
- coping
- emotions
- microaggressions
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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).
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license: apache-2.0
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