textsynth

TextSynth

TextSynth provides access to large language or text-to-image models such as Llama2, Falcon, GPT-J, GPT-NeoX, Flan-T5, M2M100, CodeGen, Stable Diffusion thru a REST API and a playground. They can be used for example for text completion, question answering, classification, chat, translation, image generation, …

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TextSynth Server

It has the following characteristics: Supports many Transformer variants (GPT-J, GPT-NeoX, GPT-Neo, OPT, Fairseq GPT, M2M100, CodeGen, GPT2, T5, RWKV, LLAMA, Falcon, MPT, Llama 2) and Stable Diffusion. Integrated REST JSON API for text completion, translation and image generation. It is used by textsynth.com. Very high performance for small and large batches on CPU and GPU. Support of dynamic batching to handle a large number of simultaneous requests. Efficient custom 8 bit and 4 bit quantization. Our quantized models are thoroughly evaluated on several standard tasks to ensure good performance. Larger models work optimally on lower cost GPUs (e.g. RTX 3090, RTX A6000) thanks to efficient quantization. All is included in a single binary. Very few external dependencies (Python is not needed) so installation is easy. Uses the LibNC library for simple tensor manipulation using the C language. Simple command line tools (ts_test, ts_sd, ts_chat, ts_zip) are provided to test the various models.

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Text Completion

Text completion using large language models. Falcon 7B and Llama2 7B are currently among the best language models of comparable size. GPT-J is a 6 billion parameter English model. It has some abilities in other languages too, including computer languages. Boris is a fine-tuned version of GPT-J for the French language. Flan-T5-XXL is a fine-tuned language model to answer questions. More information is available in the documentation.

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TextSynth – Easy With AI

TextSynth - Easy With AI

TextSynth is a text generator interface that allows you to use various AI language models and engines. GPT-J, Boris, and Fairseq GPT are some of the models available, which can be accessed via the TextSynth playground. If you are new to AI text generation and haven’t used any playgrounds before, the interface might be a bit confusing. As a free user, you are sadly limited to 200 characters per generation, though it can still be a handy tool to fetch short-form text snippets such as product descriptions and summaries. Whether this tool is worth paying for is questionable, as there are simply better and more advanced text generators out there, such as ChatGPT and Jasper AI.

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TextSynth | An unofficial Rust wrapper for the TextSynth API, which …

TextSynth | An unofficial Rust wrapper for the TextSynth API, which ...

A place for all things related to the Rust programming language—an open-source systems language that emphasizes performance, reliability, and productivity.

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TextSynth: Decompressing. If you have too much to say and not …

TextSynth: Decompressing. If you have too much to say and not ...

Merzmensch If you have too much to say and not enough space

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[P] Fabrice Bellard’s TextSynth Server : r/MachineLearning

This subreddit is temporarily closed in protest of Reddit killing third party apps, see /r/ModCoord and /r/Save3rdPartyApps for more information.

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TextSynth 001 | BustBright – Machine Learning Art

TextSynth 001 | BustBright - Machine Learning Art

Machine-Learned Texture Synthesis. As with all my prints, only one of each image will be printed. Please note: these images are scaled up using a machine-learning algorithm. That means they may look a little funky, but its a part of the process! Please allow 2 weeks for printing and delivery.

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textsynth · GitHub Topics · GitHub

textsynth · GitHub Topics · GitHub

We read every piece of feedback, and take your input very seriously. GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 330 million projects.

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