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README.md
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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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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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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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 section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset 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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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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##
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##
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language:
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- ko
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tags:
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- korean
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---
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# ISAI.KR
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> Intelligent Solutions with AI
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> μ€μ©μ μΈ μΈκ³΅μ§λ₯ μλΉμ€ νλ«νΌ
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---
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## π About
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**ISAI.KR**μ μΈκ³΅μ§λ₯ κΈ°μ μ μ€μ μλΉμ€μ λΉμ¦λμ€μ μ μ©νλ κ²μ λͺ©νλ‘ νλ νλ«νΌμ
λλ€.
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볡μ‘ν AI κΈ°μ μ μ΄ν΄νκΈ° μ¬μ΄ ννλ‘ μ 곡νλ©°, κ°μΈκ³Ό κΈ°μ
μ΄ λ°λ‘ νμ©ν μ μλ κ΅¬μ‘°λ‘ μ€κ³λμμ΅λλ€.
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AIλ₯Ό λ¨μν μ λ³΄κ° μλ μ€ν κ°λ₯ν λꡬ�� λ§λλ κ²μ΄ ν΅μ¬ λ°©ν₯μ
λλ€.
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---
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## π Vision
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- λꡬλ νμ©ν μ μλ AI μλΉμ€ ꡬμΆ
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- μ€λ¬΄ μ€μ¬μ AI μλν μ루μ
μ 곡
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- API κΈ°λ° νμ₯ κ°λ₯ν ꡬ쑰 μ€κ³
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- μ§μ κ°λ₯ν AI λΉμ¦λμ€ λͺ¨λΈ κ°λ°
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---
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## π Core Areas
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### 1. AI Automation
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μ
무 μλν, λ°λ³΅ μμ
μ΅μν, μμ°μ± ν₯μ μ루μ
μ€κ³
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### 2. AI API Integration
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λ€μν AI λͺ¨λΈ μ°λ λ° μλΉμ€ν μ§μ
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### 3. AI Content & Media
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ν
μ€νΈ, μμ±, μ΄λ―Έμ§ κΈ°λ° AI μ½ν
μΈ μ μ λ° νμ©
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### 4. AI Business Strategy
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AIλ₯Ό νμ©ν μμ΅ κ΅¬μ‘° μ€κ³ λ° νλ«νΌ κΈ°ν
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---
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## π― Target
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- AI κΈ°λ° μλΉμ€ ꡬμΆμ μνλ μ€ννΈμ
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- μλνλ₯Ό λμ
νλ €λ μ€μκΈ°μ
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- AI μ¬μ΄λ νλ‘μ νΈλ₯Ό μ€λΉνλ κ°μΈ κ°λ°μ
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- AI κΈ°λ° μ¨λΌμΈ λΉμ¦λμ€ κΈ°νμ
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---
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## π Philosophy
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κΈ°μ μ 볡μ‘ν μ μμ§λ§, μ¬μ© κ²½νμ λ¨μν΄μΌ ν©λλ€.
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ISAI.KRμ κΈ°μ μ€μ¬μ΄ μλ μ¬μ©μ μ€μ¬ AI μ€κ³λ₯Ό μ§ν₯ν©λλ€.
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---
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## π¬ Contact
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- Website: https://isai.kr
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- Email: a@099.kr
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---
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## π License
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Β© ISAI.KR. All rights reserved.
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