Hugging Face
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Hugging Face SenstoneNo Hugging Face videos yet. You could help us improve this page by suggesting one.
It's a brand new thing so will have some growing pains, but I've been using mine daily for a few months and it really helps to capture those fleeting thoughts!
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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 / 20 days ago
The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / 26 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 / about 1 month 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 / about 1 month 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
Replika - Your Ai friend
Flipper Zero - A portable multi-tool device styled as a Tamagotchi
LangChain - Framework for building applications with LLMs through composability
Nomi - A creature for your Apple Watch you need to keep alive
Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
Tep - Fitness tracker meets tamagotchi. Don't starve it!