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Update README.md
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README.md
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- **Developed by:**
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- **Shared by [optional]:**
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- **Model type:**
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- **Language(s) (NLP):**
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- **License:**
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- **Finetuned from model [optional]:**
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### Model Sources [optional]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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### Training Procedure
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#### Summary
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## Model Examination [optional]
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- **Developed by:** ayaderaghul
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- **Shared by [optional]:** ayaderaghul
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- **Model type:** text generation
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- **Language(s) (NLP):** english
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- **License:** Common Creative
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- **Finetuned from model [optional]:** gpt-2
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### Model Sources [optional]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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For fun and education
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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Return a paragraph that ends your sentence, so you can input a question, you might get back an answer.
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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Reddit-trained, so sometimes it is a bit reddit-y
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[More Information Needed]
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### Recommendations
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<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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A corpus of many famous data science, machine learning, tech textbooks.
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### Training Procedure
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#### Summary
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Enjoy! And share me yours any <3
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## Model Examination [optional]
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