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Update README.md

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@@ -4,35 +4,37 @@ emoji: 😻
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  colorFrom: yellow
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  colorTo: green
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  sdk: gradio
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- sdk_version: 5.27.0
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  app_file: app.py
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  pinned: false
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  license: mit
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  hf_oauth: true
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  hf_oauth_scopes:
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- - inference-api
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- short_description: 'Leverage CodeT5-base for code generation tasks.'
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  model_info:
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  model_name: Salesforce/codet5-base
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  model_type: Encoder-Decoder Transformer
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  architecture: T5-based
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  pretraining_tasks:
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- - Denoising
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- - Bimodal Dual Generation
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  training_data:
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- - CodeSearchNet
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- - CodeXGLUE
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  fine_tuning_tasks:
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- - Code Summarization
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- - Code Generation
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- - Code Translation
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  performance_benchmarks:
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- - CodeXGLUE
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- paper: 'CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation'
 
 
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  publication_date: '2021-09-02'
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- arxiv_url: 'https://arxiv.org/abs/2109.00859'
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- github_url: 'https://github.com/salesforce/CodeT5'
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- huggingface_url: 'https://huggingface.co/Salesforce/codet5-base'
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  ---
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  # 🚀 Code Generation with CodeT5
 
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  colorFrom: yellow
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  colorTo: green
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  sdk: gradio
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+ sdk_version: 5.34.0
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  app_file: app.py
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  pinned: false
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  license: mit
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  hf_oauth: true
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  hf_oauth_scopes:
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+ - inference-api
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+ short_description: Leverage CodeT5-base for code generation tasks.
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  model_info:
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  model_name: Salesforce/codet5-base
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  model_type: Encoder-Decoder Transformer
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  architecture: T5-based
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  pretraining_tasks:
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+ - Denoising
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+ - Bimodal Dual Generation
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  training_data:
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+ - CodeSearchNet
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+ - CodeXGLUE
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  fine_tuning_tasks:
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+ - Code Summarization
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+ - Code Generation
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+ - Code Translation
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  performance_benchmarks:
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+ - CodeXGLUE
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+ paper: >-
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+ CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code
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+ Understanding and Generation
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  publication_date: '2021-09-02'
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+ arxiv_url: https://arxiv.org/abs/2109.00859
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+ github_url: https://github.com/salesforce/CodeT5
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+ huggingface_url: https://huggingface.co/Salesforce/codet5-base
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  ---
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  # 🚀 Code Generation with CodeT5