CodeT5Salesforce
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MedGemmaGoogle DeepMind
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Related Products
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CodeT5:
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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MedGemma:
About
MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension. Developers can use MedGemma to accelerate building healthcare-based AI applications. MedGemma currently comes in two variants: a 4B multimodal version and a 27B text-only version. MedGemma 4B utilizes a SigLIP image encoder that has been specifically pre-trained on a variety of de-identified medical data, including chest X-rays, dermatology images, ophthalmology images, and histopathology slides. Its LLM component is trained on a diverse set of medical data, including radiology images, histopathology patches, ophthalmology images, and dermatology images. MedGemma 4B is available in both pre-trained (suffix: -pt) and instruction-tuned (suffix -it) versions. The instruction-tuned version is a better starting point for most applications.
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CodeT5:
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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MedGemma:
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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CodeT5:
Audience
Developers and users interested in a solution to generate, summarize, and autocomplete code
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MedGemma:
Audience
Healthcare AI developers wanting a solution offering fine-tunable models for medical text and image comprehension tasks
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CodeT5:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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MedGemma:
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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CodeT5:
API
Offers API
Not Supported
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MedGemma:
API
Offers API
Not Supported
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CodeT5:
Screenshots and Videos |
MedGemma:
Screenshots and Videos |
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CodeT5:
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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MedGemma:
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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CodeT5:
Reviews/
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MedGemma:
Reviews/
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CodeT5:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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MedGemma:
Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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CodeT5:
Company InformationSalesforce
github.com/salesforce/CodeT5
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MedGemma:
Company InformationGoogle DeepMind
Founded: 2010
United Kingdom
deepmind.google/models/gemma/medgemma/
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CodeT5:
Alternatives |
MedGemma:
Alternatives |
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MedGemma:
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MedGemma:
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CodeT5:
Categories |
MedGemma:
Categories |
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CodeT5:
Integrations
C
Supported
C#
Supported
Dr7.ai
Not Supported
Gemini platform
Not Supported
Gemma 2
Not Supported
Gemma 3
Not Supported
Gemma 4
Not Supported
Go
Supported
Hugging Face
Not Supported
Java
Supported
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MedGemma:
Integrations
C
Not Supported
C#
Not Supported
Dr7.ai
Supported
Gemini platform
Supported
Gemma 2
Supported
Gemma 3
Supported
Gemma 4
Supported
Go
Not Supported
Hugging Face
Supported
Java
Not Supported
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CodeT5:
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MedGemma:
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