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Introduction of xlm-roberta-large-pooled-polish-emotions9-v2
Model Details of xlm-roberta-large-pooled-polish-emotions9-v2
Proposal 2B: German to Slovak Emotion Labeling (v2)
Model Description
This model is designed for
emotion classification
in Slovak texts.
It was fine-tuned to recognize
nine emotion categories
and trained on a dataset with labeled examples.
Labels and Their Meanings
Label
Emotion
0
Anger
1
Fear
2
Disgust
3
Sadness
4
Joy
5
None of them
6
Enthusiasm
7
Hope
8
Pride
Evaluation Metrics
The model was evaluated using
precision, recall, f1-score, and accuracy
.
To use this model for text classification in Python:
from transformers import pipeline
classifier = pipeline("text-classification", model="poltextlab/proposal_2b_german_to_slovak_PT_label_v2")
text = "Ich bin sehr glücklich, dass du hier bist!"# German
result = classifier(text)
print(result)
Runs of poltextlab xlm-roberta-large-pooled-polish-emotions9-v2 on huggingface.co
1.4K
Total runs
0
24-hour runs
0
3-day runs
8
7-day runs
187
30-day runs
More Information About xlm-roberta-large-pooled-polish-emotions9-v2 huggingface.co Model
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