Instructions to use identrics/wasper_propaganda_detection_bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use identrics/wasper_propaganda_detection_bg with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("INSAIT-Institute/BgGPT-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "identrics/wasper_propaganda_detection_bg") - Notebooks
- Google Colab
- Kaggle
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## Training Details
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The training dataset for the model consists of a balanced collection of Bulgarian examples, including both propaganda and non-propaganda content. These examples were sourced from a variety of traditional media and social media platforms and manually annotated by domain experts. Additionally, the dataset is enriched with AI-generated samples.
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The model achieved an F1 score of 0.836 during evaluation.
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## Compute Infrastructure
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This model was fine-tuned using a **GPU / 2xNVIDIA Tesla V100 32GB**.
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## Training Details
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The training dataset for the model consists of a balanced collection of Bulgarian examples, including both propaganda and non-propaganda content. These examples were sourced from a variety of traditional media and social media platforms and manually annotated by domain experts. Additionally, the dataset is enriched with AI-generated samples.
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The model achieved an F1 score of **0.836** during evaluation.
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## Compute Infrastructure
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This model was fine-tuned using a **GPU / 2xNVIDIA Tesla V100 32GB**.
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