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Based on our record, Hugging Face should be more popular than Stats. It has been mentiond 253 times since March 2021. 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.
Its not a terminal app like bottom or nvtop but I use https://github.com/exelban/stats and it has iGPU stats. - Source: Hacker News / 2 months ago
I’ve found stats [1] to be a great open source alternative to the iStat Menus system monitor app mentioned in the article. [1] https://github.com/exelban/stats. - Source: Hacker News / 5 months ago
Have not used it for quite some time, and I think it was launching the Mac system monitor , it does don't have its own widow , but you can check this https://github.com/exelban/stats. Source: 11 months ago
Install stats and put it in your menu bar. It will show the top processes. If my battery is going down quicker than usual I check there and it is usually some hungry tab in Firefox. But I've also noticed bluetoothd using way more CPU than I would expect. Source: 11 months ago
Don't know about 'better looking', but I use https://github.com/exelban/stats. Source: 11 months ago
Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 5 days ago
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 / about 1 month ago
The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / about 1 month 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 2 months 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 2 months ago
iStat Menus - "An advanced Mac system monitor for your menubar."
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