Hugging Face reviews

Hugging Face is where the open-source AI community lives, hundreds of thousands of models, all in one place. We chose it because access to that ecosystem shouldn't require building your own infrastructure.

Easy to use. Best platform for local llm.

Every on-device model Ora uses — ASR and the translator LLM — is pulled from Hugging Face on first launch. The Swift-native HFHub downloader and swift-transformers library made it trivial to ship a weights-free binary that fetches what it needs at runtime, with tokenizer configs properly versioned alongside the weights. No competing registry matches that combination of coverage and Swift ergonomics.

Local vector embeddings using nomic-embed-text-v1.5

HuggingFace provided many great open source, local AI models for our users to experiment with Hyperlink agent.

Comprehensive library.

The leading platform to host and collaborate on AI models, datasets, and applications.

Various open weight models & Hugging Face community enables Fable run rapid experimentation on how to create top quality demos ready to be used in a blink.

We use HuggingFace models to allow evaluation of the quality of LLM outputs with local models and classifiers.