Text Classification
Transformers
Safetensors
Greek
bert
Social Media
Reddit
Topic Classification
Text Classification
Greek NLP
Eval Results (legacy)
text-embeddings-inference
Instructions to use IMISLab/Greek-Reddit-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IMISLab/Greek-Reddit-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IMISLab/Greek-Reddit-BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IMISLab/Greek-Reddit-BERT") model = AutoModelForSequenceClassification.from_pretrained("IMISLab/Greek-Reddit-BERT") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -64,6 +64,8 @@ This model is fine-tuned on [GreekReddit](https://huggingface.co/datasets/IMISLa
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[Mastrokostas, C., Giarelis, N., & Karacapilidis, N. (2024) Social Media Topic Classification on Greek Reddit]()
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For more information see the evaluation section below.
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## Training dataset
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The training dataset of `Greek-Reddit-BERT` is [GreekReddit](https://huggingface.co/datasets/IMISLab/GreekReddit), which is a topic classification dataset.
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[Mastrokostas, C., Giarelis, N., & Karacapilidis, N. (2024) Social Media Topic Classification on Greek Reddit]()
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For more information see the evaluation section below.
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<img src="Greek Reddit finetuning.svg" width="200"/>
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## Training dataset
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The training dataset of `Greek-Reddit-BERT` is [GreekReddit](https://huggingface.co/datasets/IMISLab/GreekReddit), which is a topic classification dataset.
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