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README.md
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sdk: gradio
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sdk_version: 5.
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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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short_description:
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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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training_data:
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fine_tuning_tasks:
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performance_benchmarks:
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paper:
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publication_date: '2021-09-02'
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arxiv_url:
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github_url:
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huggingface_url:
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---
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# 🚀 Code Generation with CodeT5
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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
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