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xlm-roberta-se-sentiments-x
reinforcer/xlm-roberta-se-sentiments-x
xlm-roberta-se-sentiments-x is a text classification model from reinforcer. Use it when you need a label for a piece of text. It is set up for transformers.
Base Model: xlm-roberta-base Model Name: reinforcer/xlm-roberta-se-sentiments-x Task: Text Classification (Sentiment Analysis) Languages: Multilingual Training Parameters: - Learning Rate: 3e-05 - Batch Size: 64 - Tra…
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- May 11, 2025
- Updated
- May 11, 2025
- SHA
- 443cd450
Try a prompt
Base models
Model card
From the Hugging Face model README
Model Card for reinforcer/xlm-roberta-se-sentiments-x
Model Details
Base Model: xlm-roberta-base
Model Name: reinforcer/xlm-roberta-se-sentiments-x
Task: Text Classification (Sentiment Analysis)
Languages: Multilingual
Training Parameters:
- Learning Rate: 3e-05
- Batch Size: 64
- Training Epochs: 5
Evaluation Results
| Metric | Score |
|---|---|
| Accuracy | 85.5% |
| Precision | 85.4% |
| Recall | 85.5% |
| F1 Score | 85.4% |
Usage
from transformers import pipeline
# For private repository access:
# analyzer = pipeline(..., token="your_hf_token_here")
analyzer = pipeline(
"text-classification",
model="reinforcer/xlm-roberta-se-sentiments-x"
)
result = analyzer("This product delivers excellent performance!")
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Languages
- en
- Created
- May 11, 2025
- Updated
- May 11, 2025