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Aya Expanse 32B

Multilingual large language model, supporting 23 languages

#Artificial Intelligence
#machine learning
#text generation
#multilingual
#transformers
Aya Expanse 32B

Product Details

Aya Expanse 32B is a multi-language large-scale language model developed by Cohere For AI, with 3.2 billion parameters, focusing on providing high-performance multi-language support. It combines advanced data arbitration, multi-language preference training, security tuning and model merging technology to support 23 languages, including Arabic, Chinese (Simplified and Traditional), Czech, Dutch, English, French, German, Greek, Hebrew, Hindi, Indonesian, Italian, Japanese, Korean, Persian, Polish, Portuguese, Romanian, Russian, Spanish, Turkish, Ukrainian and Vietnamese. The release of this model aims to make community-based research more accessible by releasing high-performance, multi-language model weights for use by researchers around the world.

Main Features

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Supports text generation in 23 different languages
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Optimized transformer architecture, suitable for multi-language environments
3
Post-training with supervised fine-tuning, preference training and model merging
4
Online trial available via Hugging Face Space
5
Provide detailed usage examples and tutorials to facilitate users' learning and application
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Supports installing transformers library through pip for local deployment and use
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Suitable for various use cases such as chat, writing assistant, multi-language question and answer system, etc.

How to Use

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1. Install the transformers library: Run `pip install 'git+https://github.com/huggingface/transformers.git'` in the terminal or command prompt.
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2. Import the model and tokenizer: Import AutoTokenizer and AutoModelForCausalLM in the Python code.
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3. Load the model: Use the model ID to load the tokenizer and model.
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4. Prepare input data: Format the user’s message into an input format acceptable to the model.
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5. Generate text: Call the generate method of the model to generate text.
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6. Decode the generated text: Use a tokenizer to decode the generated token into readable text.
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7. Print or use the generated text: Use the generated text for your desired application scenario.

Target Users

The target audience includes researchers, developers and enterprise users, especially those professionals who need to deal with multilingual text generation and understanding. Aya Expanse 32B's multilingual support and high performance make it ideal for globalization projects and multilingual research.

Examples

Multilingual Writing Assistant: Helps users write articles and letters in different languages.

Chatbot: Provides multilingual chatbot services and supports multilingual conversations between users and robots.

Multilingual question and answer system: capable of understanding and answering questions in multiple languages, suitable for international customer service systems.

Quick Access

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Categories

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› AI model
› Model training and deployment

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