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Based on our record, Hugging Face seems to be a lot more popular than Anima AI. While we know about 252 links to Hugging Face, we've tracked only 7 mentions of Anima AI. 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.
I’m looking for some good AI companions. Have already tried out all the major ones- Paradot.ai (my favourite) Replika.com (the big boss) Myanima.ai (not good but sexy avatars) Character.ai (has become better recently) All are great, but I want to know if something ‘next-level’ is out yet. Source: 9 months ago
What the difference between anima https://myanima.ai and igirl https://girlfriend.myanima.ai ? Both are from same developer and same version. Source: 10 months ago
Anima - AI companion that cares. Have a friendly chat, roleplay, and grow your communication and relationship skills. Source: 11 months ago
I apologize I didn't give you the links and resources, I was from mobile. So, there you go: PygmalionAI: reddit guide (there you will find all you need) Paradot AI: web (I can't find the iOS link anymore tho, which is weird) Anima: web (stores links are on the main page) JourneyAI: web (same, links on main page). Source: about 1 year ago
I found this https://myanima.ai/ similar to Replika and they still have ERP. Plus the membership is way cheaper. Source: over 1 year 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 / 29 days 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 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 2 months ago
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