ContextClassy-Merged-V1

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Generates a LeetCode Question taking difficulty level and topic as input.

Model Details

Model Description

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

• Developed by: Usaid Bin Rehan
• Funded by: NVIDIA Research Center
• Model type: Question-Answering
• Language(s) (NLP): English
• License: None
• Finetuned from model: Zephyr-7B

Model Sources [optional]

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• Paper [optional]: currently in works
• Demo [optional]: will be made public soon

Uses

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The model can be used directly in any LMS to generate LeetCode questions or can be fine-tuned on further difficulty and topic categorized questions.

Direct Use

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The model can be inferenced to respond with LeetCode question that is categorized by the topic and difficulty level passed as prompt.

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Out-of-Scope Use

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Generating questions of courses other than programming has not been validated

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Bias, Risks, and Limitations

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It is limited to only generating LeetCode questions it has been trained on

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Recommendations

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It has been designed to generate popular LeetCode questions for practice

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

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Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

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BibTeX:

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APA:

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Glossary [optional]

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Model Card Authors [optional]

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Model Card Contact

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