No Hugging Face videos yet. You could help us improve this page by suggesting one.
Based on our record, Hugging Face should be more popular than Gradio. It has been mentiond 252 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.
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 / 21 days ago
The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / 27 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
We can quickly leverage our python knowledge to implement and deploy a text summarization chatbot, using pretrained AI models and the frontend framework I already described several times, gradio. - Source: dev.to / 4 days ago
Current version of the "AI battleground" is super shit, this is largely because I picked the wrong framework to build it (gradio.app -- it's good for prototyping but terrible for production, as I've learned). The game-plan is to bring this in-app over the next 2 weeks. Latency will be improved and UX should be a lot better. Bear with us, lots of exciting stuff in the pipeline (audio for ultra, new way for us to... Source: 11 months ago
We've been building devtools for years now. We're really passionate about the field. The most recent thing we built is https://usedevbook.com. The goal was to build a simple framework/UI for companies to demo their APIs. Something like https://gradio.app but for API companies. It's been used for example by Prisma - we helped them build their playground with it - https://playground.prisma.io/ Our new project - e2b... - Source: Hacker News / about 1 year ago
I assume GP is referring to frameworks like Gradio (https://gradio.app/) and to a lesser extent Streamlit. Existing web UI frameworks for Python are somewhat opinionated around particular use cases, of which AI/ML is a prominent one. - Source: Hacker News / about 1 year ago
For making the UI I would recommend that you check out Gradio, it's a fantastic library that allows you to make UI for your ml projects _^. Source: about 1 year ago
Replika - Your Ai friend
Streamlit - Turn python scripts into beautiful ML tools
LangChain - Framework for building applications with LLMs through composability
Anvil.works - Build seriously powerful web apps with all the flexibility of Python. No web development experience required.
Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.