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xlm-roberta-large-binary-cs-iib

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PyTorch
Czech
xlm-roberta
text-embeddings-inference
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xlm-roberta-large-binary-cs-iib / README.md
Chi Honolulu
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metadata
license: mit
language:
  - multilingual

Model Card for xlm-roberta-large-binary-cs-iib

This model is fine-tuned for text classification of Supportive Interactions in Instant Messenger dialogs of Adolescents. The classification is binary and the model outputs probablities for labels> 0,1: Supportive Interactions present or not.

Model Details

Model Description

Fine-tuned on the machine-translated version of a dataset of Instant Messenger dialogs of Adolescents originally in the Czech language.

  • Developed by: Anonymous
  • Language(s): multi-lingual
  • Finetuned from: xlm-roberta-large

Model Sources

Usage

Here is how to use this model to classify a context-window of a dialogue:

from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained('xlm-roberta-large')
model = AutoModelForSequenceClassification.from_pretrained("chi2024/xlm-roberta-large-binary-cs-iib")
# prepare input
utterances = "Hi, how are you?;I am fine, how about you?;Thanks for asking."
encoded_input = tokenizer(text, return_tensors='pt')
# forward pass
output = model(**encoded_input)