Hugging Face
The open-source AI platform with 500K+ models, inference endpoints, and fine-tuning tools
Hugging Face is a platform for sharing and running open-source machine learning models. It hosts over 500,000 models and provides inference endpoints for deploying them via API, fine-tuning libraries (TRL, PEFT), and core frameworks (Transformers, Diffusers). The platform supports text, image, audio, and video models with a unified inference API across 45,000+ models from multiple providers.
Pricing: Usage-based
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Hugging Face Alternatives
Explore 20 products in the Fine-tuning category. View all Hugging Face alternatives.
LLaMA-Factory
Open-source fine-tuning framework for 100+ LLMs with a web UI
torchtune
PyTorch-native fine-tuning library from Meta, no longer actively maintained (development wound down in 2025)
TRL
Hugging Face library for training language models with RLHF, SFT, and DPO
OVHcloud AI
European cloud provider with AI inference, training, and deployment services
Amazon Bedrock
Managed API access to foundation models on AWS with built-in fine-tuning and agent tooling
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