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<script lang="ts">
export let model: string;
export let streaming: Boolean;
export let temperature: number;
export let maxTokens: number;
export let messages: Array;
const npmSnippet = `import { HfInference } from '@huggingface/inference'
const hf = new HfInference('your access token')`;
$: nonStreamingSnippet = `await hf.chatCompletion({
model: "${model}",
messages: [
{ role: "user", content: "Complete the this sentence with words one plus one is equal " }
],
max_tokens: ${maxTokens},
temperature: ${temperature},
seed: 0,
});`;
$: streamingSnippet = `let out = "";
for await (const chunk of hf.chatCompletionStream({
model: "${model}",
messages: [
{ role: "user", content: "Complete the equation 1+1= ,just the answer" },
],
max_tokens: ${maxTokens},
temperature: ${temperature},
seed: 0,
})) {
if (chunk.choices && chunk.choices.length > 0) {
out += chunk.choices[0].delta.content;
}
}`;
</script>
<div class="pt-2">
<div
class="border-b border-gray-200 text-center text-sm font-medium text-gray-500 dark:border-gray-700 dark:text-gray-400"
>
<ul class="-mb-px flex flex-wrap">
<li>
<a
href="#"
class="active inline-block rounded-t-lg border-b-2 border-black p-4 text-black dark:border-blue-500 dark:text-blue-500"
aria-current="page">Huggingface.js</a
>
</li>
<li>
<a
href="#"
class="inline-block rounded-t-lg border-b-2 border-transparent p-4 hover:border-gray-300 hover:text-gray-600 dark:hover:text-gray-300"
>Curl</a
>
</li>
</ul>
</div>
<div class="px-4 pb-4 pt-6">
<h2 class="font-semibold">Install and instantiate</h2>
</div>
<pre
class="overflow-x-auto border-y border-gray-100 bg-gray-50 px-4 py-6 text-sm dark:border-gray-800 dark:bg-gray-800/50">{npmSnippet}</pre>
<div class="px-4 pb-4 pt-6">
<h2 class="font-semibold">{streaming ? 'Streaming API' : 'Non-Streaming API'}</h2>
</div>
<pre
class="overflow-x-auto border-y border-gray-100 bg-gray-50 px-4 py-6 text-sm dark:border-gray-800 dark:bg-gray-800/50">{streaming
? streamingSnippet
: nonStreamingSnippet}
</pre>
</div>
|