Inference Providers: Best Way to Build with Open Source Models

From the creator

Create your account Today πŸ‘‰ https://huggingface.short.gy/join Learn how to call open-source AI models through one consistent Hugging Face Inference Providers API: run chat completions with LLMs, generate images, and create embeddings with real Python examples. Choose models and providers from the Hub, reuse OpenAI-compatible clients, compare pricing, and deploy to productionβ€”swap models or providers with one line and use free monthly credits with zero Hugging Face markup. --- πŸ€“ *Topics Covered* - Hugging Face Inference Providers overview: single API for open-source models - Finding models on the Hub with the β€œInference available” filter - Creating a fine‑grained Hugging Face access token and enabling β€œMake calls to inference providers” - Pricing and billing: zero Hugging Face markup; same as calling providers directly - Free monthly credits ($0.10 Free, $2 Pro) and monitoring usage in the Inference Providers dashboard --- ⏰ *Timestamps* 0:00:00 - Intro: What are HF Inference Providers? 0:01:07 - Selecting models & providers on the Hub 0:04:32 - Creating HF access token 0:06:08 - Chat completions with open‑source LLMs 0:10:09 - Text‑to‑image generation 0:12:30 - Embeddings for RAG 0:14:36 - Pricing, credits, and production tips

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Makers residency 4th edition

Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional Β£25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.

β—† Fri 13 Nov 2026 β—† KOKO, London
Makers residency 4th edition
Live event
Makers residency 4th edition
Fri 13 Nov 2026

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