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We also need a model to talk to. You can run one in the cloud, use Hugging Face, Microsoft Foundry Local or something else but I choose* to use the qwen3 model through Ollama:. - Source: dev.to / 8 days ago
Streamlit โ Front-end & deployment. LangChain โ LLM integration & chaining workflows. Hugging Face โ Pre-trained AI models (e.g., Mixtral-8x7B). Supabase โ Vector database for storing PDF embeddings. - Source: dev.to / about 2 months ago
โ 2. Hugging Face โ Best for: Pre-trained NLP & Vision models โ Why: Open-source models + Inference API = Quick deployment ๐ https://huggingface.co/. - Source: dev.to / 2 months ago
๐ฏ Goal: Help beginners build a simple, working AI app using React, Tailwind CSS, and a free AI API (like OpenAI or HuggingFace). - Source: dev.to / 2 months ago
I had a model called hf.co/aaa/Example-XXX:YYY in Ollama, and I found the model at Hugging Face. - Source: dev.to / 3 months ago
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