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Hugging Face account with a read-only API token. You will use this to fetch the models that vLLM will run. You may also need to accept the terms and conditions or usage license agreements associated with the models you intend to use. In some cases, you may need to request access to the model from the model owners on Hugging Face. For this guide, make sure you have accepted any terms required for the... - Source: dev.to / 2 days ago
This template ships with Google Gemini models/gemini-1.0-pro-001 as the default. However, thanks to the Vercel AI SDK, you can switch LLM providers to OpenAI, Anthropic, Cohere, Hugging Face, or using LangChain with just a few lines of code. - Source: dev.to / 3 days ago
I wanted to get a project for running my own pipeline with somewhat interchangeable parts. Models can be swapped around so that you can make the most of the latest models either available on Hugginface, OpenAI or wherever. - Source: dev.to / about 2 months ago
Log in to your Huggingface account at https://huggingface.co. Click Access Token in the menu to generate a new token. - Source: dev.to / 16 days ago
While looking into how to create text embeddings quickly and directly, we discovered a few helpful tools that allowed us to achieve our goal. Consequently, we created an easy-to-use PHP extension that can generate text embeddings. This extension lets you pick any model from Sentence Transformers on HuggingFace. It is built on the CandleML framework, which is written in Rust and is a part of the well-known... - Source: dev.to / 22 days ago
On this family summer trip to Asia, I've admittedly been relying heavily on Google Translate. As someone who lives in the world of APIs, that makes me think of "its API,"^ the Google Cloud Translation API. Pure translation, though, is not the same as finding the right words (although they're similar), and that makes me think of natural language understanding (NLU). When considering NLU and NLP (natural language... - Source: dev.to / 3 days ago
The word "betula" in Hebrew means "virgin". Was this intentional? I almost spat out my dinner. https://translate.google.com/?sl=auto&tl=en&text=%D7%91%D7%AA%D7%95%D7%9C%D7%94&op=translate. - Source: Hacker News / 18 days ago
Honestly, these are some of my favorite stories and I think more ML people need to learn more about mythology (I say this as a ML researcher btw). Because once you go down this path you start to understand how "Rino" == "Unicorn". You have to really think about how to explain things when you're working with a limited language. Yeah, we have the word "rino" now, but how would you describe one to someone who has no... - Source: Hacker News / about 2 months ago
Const fs = require('fs'); Const tts = require('google-tts-api'); Const axios = require('axios'); // Function to convert text to speech and save as an audio file Async function textToSpeech(text, language, outputFile) { try { const url = await tts.getAudioUrl(text, { lang: language || 'en', slow: false, host: 'https://translate.google.com', }); const response = await axios.get(url,... - Source: dev.to / 3 months ago
Thanks for correcting me. Apparently, I was too credulous of https://translate.google.com/?sl=en&tl=nl&text=monster&op=translate. - Source: Hacker News / 5 months ago
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