iStat Menus VS Hugging Face

iStat Menus Reviews

Hugging Face Reviews

iStat Menus mentions (53)

• A collection of useful Mac Apps

  iStat Menus - Price: $14.99 (one-time purchase) Advanced system monitor for macOS that displays real-time CPU, GPU, and network usage. Source: 10 months ago

• HELP PLEASE: MAC AIR ULTRA SLOW CPU

  iStat Menus has been around a long time and is very reliable. I've used this for many, many years on numerous different Mac models, and it's top-notch. It displays all sorts of system statistics in the menu bar and lets you define custom fan controls for different component (CPU, etc) temperatures, all in a nice, sleek interface. Source: 11 months ago

• After dreaming of Al Gore's setup for 15 years, finally I got this:

  Don't do this on my behalf but if you're ever curious yourself, on some other date, you can use iStat Menu among other utilities or readers to check GPU utilization, thats a lot easier to read than Activity Monitor. If using iStat, go to iStat Menus, click on the CPU/GPU dropdown, then the GPU in the active items bar, and select processor. You'll see a graph and you can just let that sit for a few minutes and... Source: 11 months ago

• ACC + Steam working great with apple's game porter

  Fantastic! I read that it is an M1, but what model and configuration exactly is it? If you like and are curious, install this app https://bjango.com/mac/istatmenus/, it tells you everything, temperature, fan RPM, etc. Source: 12 months ago

• MacBook Pro keeps heating up really fast.

  You can monitor the internal temperatures with iStat Menus or similar, but there's really no need. The system automatically adjusts fan speed to cool itself off when needed. Source: 12 months ago

Hugging Face mentions (253)

• How to run any LLM model with Hugging-Face 🤗

  Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 5 days ago

• Chat with your Github Repo using llama_index and chainlit

  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

• AI enthusiasm - episode #1🚀

  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

• Hosting Your Own AI Chatbot on Android Devices

  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

• Sentiment Analysis with PubNub Functions and HuggingFace

  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