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<html> |
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<head> |
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<meta content="text/html;charset=utf-8" http-equiv="Content-Type" /> |
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<title>Candle T5</title> |
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</head> |
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<body></body> |
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</html> |
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<!DOCTYPE html> |
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<html> |
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<head> |
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<meta charset="UTF-8" /> |
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<meta name="viewport" content="width=device-width, initial-scale=1.0" /> |
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<style> |
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@import url("https://fonts.googleapis.com/css2?family=Source+Code+Pro:wght@200;300;400&family=Source+Sans+3:wght@100;200;300;400;500;600;700;800;900&display=swap"); |
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html, |
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body { |
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font-family: "Source Sans 3", sans-serif; |
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} |
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</style> |
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<style type="text/tailwindcss"> |
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.link { |
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@apply underline hover:text-blue-500 hover:no-underline; |
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} |
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</style> |
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<script src="https://cdn.tailwindcss.com"></script> |
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<script type="module"> |
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import { |
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getModelInfo, |
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MODELS, |
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extractEmbeddings, |
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generateText, |
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} from "./utils.js"; |
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const t5ModelEncoderWorker = new Worker("./T5ModelEncoderWorker.js", { |
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type: "module", |
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}); |
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const t5ModelConditionalGeneration = new Worker( |
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"./T5ModelConditionalGeneration.js", |
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{ type: "module" } |
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); |
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const formEl = document.querySelector("#form"); |
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const modelEl = document.querySelector("#model"); |
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const promptEl = document.querySelector("#prompt"); |
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const temperatureEl = document.querySelector("#temperature"); |
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const toppEL = document.querySelector("#top-p"); |
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const repeatPenaltyEl = document.querySelector("#repeat_penalty"); |
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const seedEl = document.querySelector("#seed"); |
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const outputEl = document.querySelector("#output-generation"); |
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const tasksEl = document.querySelector("#tasks"); |
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let selectedTaskID = ""; |
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document.addEventListener("DOMContentLoaded", () => { |
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for (const [id, model] of Object.entries(MODELS)) { |
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const option = document.createElement("option"); |
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option.value = id; |
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option.innerText = `${id} (${model.size})`; |
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modelEl.appendChild(option); |
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} |
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populateTasks(modelEl.value); |
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modelEl.addEventListener("change", (e) => { |
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populateTasks(e.target.value); |
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}); |
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tasksEl.addEventListener("change", (e) => { |
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const task = e.target.value; |
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const modelID = modelEl.value; |
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promptEl.value = MODELS[modelID].tasks[task].prefix; |
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selectedTaskID = task; |
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}); |
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}); |
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function populateTasks(modelID) { |
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const tasks = MODELS[modelID].tasks; |
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tasksEl.innerHTML = ""; |
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for (const [task, params] of Object.entries(tasks)) { |
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const div = document.createElement("div"); |
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div.innerHTML = ` |
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<input |
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type="radio" |
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name="task" |
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id="${task}" |
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class="font-light cursor-pointer" |
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value="${task}" /> |
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<label for="${task}" class="cursor-pointer"> |
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${params.prefix} |
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</label> |
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`; |
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tasksEl.appendChild(div); |
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} |
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selectedTaskID = Object.keys(tasks)[0]; |
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tasksEl.querySelector(`#${selectedTaskID}`).checked = true; |
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} |
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form.addEventListener("submit", (e) => { |
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e.preventDefault(); |
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const promptText = promptEl.value; |
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const modelID = modelEl.value; |
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const { modelURL, configURL, tokenizerURL, maxLength } = getModelInfo( |
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modelID, |
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selectedTaskID |
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); |
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const params = { |
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temperature: Number(temperatureEl.value), |
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top_p: Number(toppEL.value), |
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repetition_penalty: Number(repeatPenaltyEl.value), |
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seed: BigInt(seedEl.value), |
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max_length: maxLength, |
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}; |
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generateText( |
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t5ModelConditionalGeneration, |
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modelURL, |
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tokenizerURL, |
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configURL, |
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modelID, |
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promptText, |
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params, |
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(status) => { |
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if (status.status === "loading") { |
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outputEl.innerText = "Loading model..."; |
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} |
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if (status.status === "decoding") { |
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outputEl.innerText = "Generating..."; |
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} |
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} |
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).then(({ output }) => { |
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outputEl.innerText = output.generation; |
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}); |
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}); |
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</script> |
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</head> |
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<body class="container max-w-4xl mx-auto p-4"> |
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<main class="grid grid-cols-1 gap-8 relative"> |
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<span class="absolute text-5xl -ml-[1em]"> 🕯️ </span> |
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<div> |
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<h1 class="text-5xl font-bold">Candle T5 Transformer</h1> |
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<h2 class="text-2xl font-bold">Rust/WASM Demo</h2> |
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<p class="max-w-lg"> |
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This demo showcase Text-To-Text Transfer Transformer (<a |
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href="https://blog.research.google/2020/02/exploring-transfer-learning-with-t5.html" |
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target="_blank" |
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class="link" |
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>T5</a |
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>) models right in your browser, thanks to |
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<a |
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href="https://github.com/huggingface/candle/" |
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target="_blank" |
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class="link"> |
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Candle |
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</a> |
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ML framework and rust/wasm. You can choose from a range of available |
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models, including |
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<a |
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href="https://huggingface.co/t5-small" |
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target="_blank" |
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class="link"> |
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t5-small</a |
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>, |
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<a href="https://huggingface.co/t5-base" target="_blank" class="link" |
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>t5-base</a |
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>, |
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<a |
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href="https://huggingface.co/google/flan-t5-small" |
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target="_blank" |
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class="link" |
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>flan-t5-small</a |
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> |
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and several t5 |
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<a |
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href="https://huggingface.co/lmz/candle-quantized-t5/tree/main" |
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target="_blank" |
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class="link"> |
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t5 quantized gguf</a |
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>. |
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</p> |
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</div> |
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<div> |
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<label for="model" class="font-medium">Models Options: </label> |
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<select |
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id="model" |
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class="border-2 border-gray-500 rounded-md font-light"></select> |
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</div> |
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<div> |
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<h3 class="font-medium">Task Prefix:</h3> |
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<form id="tasks" class="flex flex-col gap-1 my-2"></form> |
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</div> |
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<form |
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id="form" |
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class="flex text-normal px-1 py-1 border border-gray-700 rounded-md items-center"> |
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<input type="submit" hidden /> |
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<input |
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type="text" |
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id="prompt" |
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class="font-light w-full px-3 py-2 mx-1 resize-none outline-none" |
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placeholder="Add prompt here, e.g. 'translate English to German: Today I'm going to eat Ice Cream'" |
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value="translate English to German: Today I'm going to eat Ice Cream" /> |
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<button |
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class="bg-gray-700 hover:bg-gray-800 text-white font-normal py-2 w-16 rounded disabled:bg-gray-300 disabled:cursor-not-allowed"> |
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Run |
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</button> |
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</form> |
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<div class="grid grid-cols-3 max-w-md items-center gap-3"> |
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<label class="text-sm font-medium" for="temperature">Temperature</label> |
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<input |
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type="range" |
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id="temperature" |
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name="temperature" |
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min="0" |
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max="2" |
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step="0.01" |
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value="0.00" |
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oninput="this.nextElementSibling.value = Number(this.value).toFixed(2)" /> |
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<output |
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class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md"> |
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0.00</output |
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> |
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<label class="text-sm font-medium" for="top-p">Top-p</label> |
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<input |
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type="range" |
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id="top-p" |
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name="top-p" |
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min="0" |
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max="1" |
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step="0.01" |
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value="1.00" |
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oninput="this.nextElementSibling.value = Number(this.value).toFixed(2)" /> |
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<output |
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class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md"> |
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1.00</output |
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> |
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<label class="text-sm font-medium" for="repeat_penalty" |
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>Repeat Penalty</label |
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> |
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<input |
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type="range" |
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id="repeat_penalty" |
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name="repeat_penalty" |
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min="-2" |
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max="2" |
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step="0.01" |
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value="1.10" |
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oninput="this.nextElementSibling.value = Number(this.value).toFixed(2)" /> |
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<output |
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class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md" |
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>1.10</output |
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> |
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<label class="text-sm font-medium" for="seed">Seed</label> |
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<input |
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type="number" |
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id="seed" |
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name="seed" |
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value="299792458" |
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class="font-light border border-gray-700 text-right rounded-md p-2" /> |
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<button |
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id="run" |
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onclick="document.querySelector('#seed').value = BigInt(Math.floor(Math.random() * 2**64-1))" |
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class="bg-gray-700 hover:bg-gray-800 text-white font-normal py-1 w-[50px] rounded disabled:bg-gray-300 disabled:cursor-not-allowed text-sm"> |
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Rand |
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</button> |
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</div> |
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<div> |
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<h3 class="font-medium">Generation:</h3> |
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<div |
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class="min-h-[250px] bg-slate-100 text-gray-500 p-4 rounded-md flex flex-col gap-2 text-lg"> |
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<p id="output-generation" class="grid-rows-2">No output yet</p> |
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</div> |
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</div> |
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</main> |
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</body> |
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</html> |
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