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Molt5 Large Smiles2caption

Developed by laituan245
This is a molecular description generation model based on the T5 architecture, capable of converting SMILES strings into natural language descriptions.
Downloads 619
Release Time : 5/3/2022

Model Overview

This model is specifically designed for the chemical field and can convert the SMILES representation of molecules into human-readable descriptive text.

Model Features

Molecular to text conversion
Capable of converting the SMILES representation of chemical molecules into natural language descriptions
Based on T5 architecture
Trained using the powerful T5 text-to-text conversion framework
Dedicated to the chemical field
Optimized specifically for the task of chemical molecule description

Model Capabilities

Molecular description generation
SMILES string parsing
Chemical text generation

Use Cases

Chemical research
Molecular property description
Generate descriptions of the chemical properties of molecules based on their structures
Help researchers quickly understand molecular characteristics
Chemical education
Provide textual explanations of molecular structures for students
Assist in chemical learning
Drug R & D
Compound document generation
Automatically generate descriptive documents for candidate drugs
Accelerate the drug R & D process
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