Hugging Face TransformersHugging Face
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Related Products
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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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About
Train Dreambooth models. Generate unlimited AI assets.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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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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Audience
Users searching for an Artificial Intelligence solution to generate assets
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$9 per month
Free Version
Free Trial
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Pricing
$10 per 100 tokens
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationHugging Face
Founded: 2016
United States
huggingface.co/docs/transformers/en/index
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Company InformationTrain Engine
trainengine.ai/
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Categories |
Categories |
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Integrations
Hugging Face
PyTorch
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