# Industrial-grade accuracy

This model is released under the MIT license, specific details are currently unknown.

Open-source model based on MIT license, specific functionality depends on the actual model

Open-source model based on MIT license, specific functions and uses require reference to the full documentation

Open-source model based on the Apache-2.0 license

This is an open-source model based on the Apache-2.0 license. Specific functionalities should be referenced in the actual model documentation

This is a model released under the MIT license, with specific details currently unknown.

This is a model for image classification tasks, supporting the English language and adopting an open license.

AI model released under MIT license, specific functions depend on the actual model

Image classification model fine-tuned based on google/vit-base-patch16-224-in21k, achieving 91% accuracy on the test set

An image classification model based on the ViT architecture, achieving 92.5% accuracy after 8 training epochs

High-precision image classification model fine-tuned based on Google's ViT-base model, achieving 91.81% accuracy on the evaluation set

Open-source model based on the Apache-2.0 license (specific details to be added)

This is an open-source model licensed under Apache-2.0, specific functionalities require further confirmation

This is an open-source model using the Apache-2.0 license, specific details need to be supplemented

Open-source model based on the Apache-2.0 license. Specific functionalities and application fields should be referenced in the model documentation

Stanza is an efficient multilingual natural language processing toolkit that provides a complete set of processing capabilities from raw text to syntactic analysis and entity recognition.

Open-source model based on MIT License, specific features require reference to model documentation

Open-source model based on Apache-2.0 license (specific information unavailable)

Open-source model based on Apache-2.0 license, specific functionalities depend on the actual model type