CodeT5Salesforce
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Hugging Face TransformersHugging Face
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About
Code for CodeT5, a new code-aware pre-trained encoder-decoder model. Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation. This is the official PyTorch implementation for the EMNLP 2021 paper from Salesforce Research. CodeT5-large-ntp-py is specially optimized for Python code generation tasks and employed as the foundation model for our CodeRL, yielding new SOTA results on the APPS Python competition-level program synthesis benchmark. This repo provides the code for reproducing the experiments in CodeT5. CodeT5 is a new pre-trained encoder-decoder model for programming languages, which is pre-trained on 8.35M functions in 8 programming languages (Python, Java, JavaScript, PHP, Ruby, Go, C, and C#). In total, it achieves state-of-the-art results on 14 sub-tasks in a code intelligence benchmark - CodeXGLUE. Generate code based on the natural language description.
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About
Transformers is a library of pretrained natural language processing, computer vision, audio, and multimodal models for inference and training. Use Transformers to train models on your data, build inference applications, and generate text with large language models. Explore the Hugging Face Hub today to find a model and use Transformers to help you get started right away. Simple and optimized inference class for many machine learning tasks like text generation, image segmentation, automatic speech recognition, document question answering, and more. A comprehensive trainer that supports features such as mixed precision, torch.compile, and FlashAttention for training and distributed training for PyTorch models. Fast text generation with large language models and vision language models. Every model is implemented from only three main classes (configuration, model, and preprocessor) and can be quickly used for inference or training.
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Platforms Supported
Windows
Not Supported
Mac
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Linux
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Cloud
Supported
On-Premises
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iPhone
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iPad
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Android
Not Supported
Chromebook
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Developers and users interested in a solution to generate, summarize, and autocomplete code
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Audience
Machine learning practitioners looking for a tool to train and deploy state-of-the-art models across NLP, vision, and audio tasks
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Support
Phone Support
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24/7 Live Support
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Online
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Support
Phone Support
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24/7 Live Support
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Online
Supported
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API
Offers API
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API
Offers API
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Pricing
No information available.
Free Version
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Free Trial
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Pricing
$9 per month
Free Version
Supported
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
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Live Online
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In Person
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Training
Documentation
Supported
Webinars
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Live Online
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In Person
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Company InformationSalesforce
github.com/salesforce/CodeT5
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Company InformationHugging Face
Founded: 2016
United States
huggingface.co/docs/transformers/en/index
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Categories |
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Integrations
C
Supported
C#
Supported
Go
Supported
Hugging Face
Not Supported
Java
Supported
JavaScript
Supported
LFM3
Not Supported
Nemotron 3.5 Bolt
Not Supported
Nemotron 3.5 Transcribe
Not Supported
PHP
Supported
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Integrations
C
Not Supported
C#
Not Supported
Go
Not Supported
Hugging Face
Supported
Java
Not Supported
JavaScript
Not Supported
LFM3
Supported
Nemotron 3.5 Bolt
Supported
Nemotron 3.5 Transcribe
Supported
PHP
Not Supported
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