starcoderplus
Maintainer: bigcode
212
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The starcoderplus model is a text-to-text AI model developed by bigcode. This model is similar to other large language models like mpt-30B-chat-GGML, stt_en_conformer_transducer_xlarge, codellama-13b, codellama-13b-instruct, and meta-llama-3-70b-instruct, which are also designed for text generation and natural language processing tasks.
Model inputs and outputs
The starcoderplus model takes text as input and generates text as output. The model is trained on a large corpus of text data, allowing it to understand and generate human-like language.
Inputs
- Text prompts
Outputs
- Generated text that continues or completes the input prompt
Capabilities
The starcoderplus model can be used for a variety of text-related tasks, such as language generation, text summarization, and question answering. It can generate coherent and contextually relevant text, making it useful for applications like content creation, chatbots, and language translation.
What can I use it for?
The starcoderplus model can be used for a range of applications, such as bigcode's own services or for building custom natural language processing solutions. For example, the model could be used to generate product descriptions, write news articles, or provide human-like responses in a conversational interface.
Things to try
Depending on your specific use case, you could experiment with providing the starcoderplus model with different types of text prompts and observe the generated outputs. This can help you understand the model's strengths and limitations, and identify ways to best leverage its capabilities for your needs.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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