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Updated README

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  Hello! This is a project for CS-UY 4613: Artificial Intelligence. I'm providing a step-by-step instruction on finetuning language models for detecting toxic tweets. All codes are well commented.
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  # Everthing you need to know
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- Link to HuggingFace space: https://huggingface.co/spaces/andyqin18/sentiment-analysis-app
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  ----Code behind app: [app.py](app.py)
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- Link to finetuned model: https://huggingface.co/andyqin18/finetuned-bert-uncased
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  ----Code for how to finetune a language model: [finetune.ipynb](milestone3/finetune.ipynb)
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  Performance of the model using [test_model.py](test_model.py) is shown below. The result is generated on 2000 randomly selected samples from [train.csv](milestone3/comp/train.csv)
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  ```
 
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  Hello! This is a project for CS-UY 4613: Artificial Intelligence. I'm providing a step-by-step instruction on finetuning language models for detecting toxic tweets. All codes are well commented.
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  # Everthing you need to know
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+ * **HuggingFace app**: https://huggingface.co/spaces/andyqin18/sentiment-analysis-app
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  ----Code behind app: [app.py](app.py)
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+ * **Finetuned model**: https://huggingface.co/andyqin18/finetuned-bert-uncased
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  ----Code for how to finetune a language model: [finetune.ipynb](milestone3/finetune.ipynb)
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+ * **Demonstration video**: https://youtu.be/d7qUxv-MB2M
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+ * **Landing page**: https://sites.google.com/nyu.edu/aiprojectbyandyqin/home
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  Performance of the model using [test_model.py](test_model.py) is shown below. The result is generated on 2000 randomly selected samples from [train.csv](milestone3/comp/train.csv)
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  ```