Role VS Hugging Face

You could use Role it is a full fledged VTT that allows you to play with other people online and create your own character sheets using a simple visual editor or import character sheets made by the community (you can also duplicate a sheet made by the community and tweak it to your like). Source: about 1 year ago

Battlegroup has to be purchased through playrole.com, which includes it as an allowed game. I assumed this would be actually useful but that seems not to be the case. It has a. Source: over 1 year ago

I thought about using playrole.com, as it lets me create a fairly accurate character sheet but I fear it might be problematic due to possible problems with synchronising when we are able to play. Source: over 1 year ago

I think you can use Role (also free but it is still in alpha). It also has modular sheets but is still kind of rough around the edges. Source: over 1 year ago

Playrole.com allows you to kind of make unique character sheets, check it out. Source: over 2 years 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