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@@ -55,6 +55,17 @@ Model | train f1 | dev f1 | test f1 | Dataset Size
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  [`VRLLab/TurkishBERTweet-Lora-HS`](https://huggingface.co/VRLLab/TurkishBERTweet-Lora-HS) | 0.915 | 0.796 | 0.831 | 4,683 Turkish Tweets
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  # <a name="usage2"></a> Example usage
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  ## <a name="preprocess"></a> Twitter Preprocessor
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  ```python
@@ -211,4 +222,4 @@ Yes : kasmayin artik ya kac kere tanik olduk bu azgin tehlikeli “multecilerin
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  ## Acknowledgments
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  We thank [Fatih Amasyali](https://avesis.yildiz.edu.tr/amasyali) for providing access to Tweet Sentiment datasets from Kemik group.
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- This material is based upon work supported by the Google Cloud Research Credits program with the award GCP19980904. We also thank TUBITAK (121C220 and 222N311) for funding this project.
 
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  [`VRLLab/TurkishBERTweet-Lora-HS`](https://huggingface.co/VRLLab/TurkishBERTweet-Lora-HS) | 0.915 | 0.796 | 0.831 | 4,683 Turkish Tweets
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  # <a name="usage2"></a> Example usage
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+ ```bash
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+ git clone [email protected]:ViralLab/TurkishBERTweet.git
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+ cd TurkishBERTweet
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+ python -m venv venv
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+ source venv/bin/activate
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+
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+ pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
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+ pip install peft
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+ pip install transformers
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+ ```
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+
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  ## <a name="preprocess"></a> Twitter Preprocessor
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  ```python
 
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  ## Acknowledgments
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  We thank [Fatih Amasyali](https://avesis.yildiz.edu.tr/amasyali) for providing access to Tweet Sentiment datasets from Kemik group.
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+ This material is based upon work supported by the Google Cloud Research Credits program with the award GCP19980904. We also thank TUBITAK (121C220 and 222N311) for funding this project.