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Hugging Face BrevoNo Hugging Face videos yet. You could help us improve this page by suggesting one.
Based on our record, Hugging Face seems to be a lot more popular than Brevo. While we know about 252 links to Hugging Face, we've tracked only 14 mentions of Brevo. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
HuggingFaceEmbeddings is a function that we use for converting our documents to vector which is called embedding, you can use any embedding model from huggingface, it will load the model on your local computer and create embeddings(you can use external api/service to create embeddings), then we just pass this to context and create index and store them into folder so we can reuse them and don't need to recalculate it. - Source: dev.to / 17 days ago
The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / 23 days ago
Finally, you'll need to download a compatible language model and copy it to the ~/llama.cpp/models directory. Head over to Hugging Face and search for a GGUF-formatted model that fits within your device's available RAM. I'd recommend starting with TinyLlama-1.1B. - Source: dev.to / 29 days ago
At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / 29 days ago
New models can be added by downloading GGUF format models to the models sub-directory from https://huggingface.co/. - Source: dev.to / about 1 month ago
If you want more smooth delivery process you can also use SMTP relay services like AWS SES, sendinblue.com, smtp2go.com. Source: 11 months ago
This is essentially a watered down version of the "MVC" architecture. I use http lib of node for server and requests, cheerio for webscraping and Sendinblue for sending the emails and mongodb (atlas) for storing all of the data. I am a beginner in backend tech, so I am tryna learn, open to any input. Source: about 1 year ago
I got it working with sendinblue.com it allows up to 300 per day and is not hassle at all to setup! :). Source: over 1 year ago
In the mean time, I got integration working with sendinblue.com, which was fairly easy. Source: over 1 year ago
Always use a specific service for newsletters and transactional emails, such as Mailchimp or Sendinblue. - Source: dev.to / over 1 year ago
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