Huggingface
Showing 16 of 16 projects
A model-definition framework for state-of-the-art machine learning models across text, vision, audio, and multimodal tasks.
An open platform for training, serving, and evaluating large language model based chatbots.
A transformer-based text-to-audio model that generates realistic multilingual speech, music, and sound effects.
Minimal inference code for running FLUX.1 open-weight models for image generation and editing.
An open-source framework for financial large language models, enabling cost-effective fine-tuning for tasks like sentiment analysis and forecasting.
A comprehensive library for post-training foundation models using reinforcement learning and fine-tuning techniques.
An open-source Java library that simplifies integrating LLMs into Java applications through a unified API and comprehensive toolbox.
An open-source Python toolkit for speaker diarization with state-of-the-art pretrained models and pipelines.
A fast, flexible, and hardware-aware LLM inference engine with zero-config support for any Hugging Face model.
An open-source pipeline for training medical domain GPT models using PT, SFT, RLHF, DPO, ORPO, and GRPO methods.
A domain-specific generative language model pre-trained on biomedical literature for text generation and mining tasks.
A free course teaching diffusion models theory and hands-on implementation using Hugging Face's Diffusers library.
A free course teaching how to design, train, and deploy a production-ready real-time financial advisor LLM system using RAG and LLMOps.
A Rust-native port of Hugging Face Transformers providing ready-to-use NLP pipelines and transformer models like BERT, GPT2, and T5.
A JAX/Flax-based framework for easy and scalable pre-training, fine-tuning, evaluation, and serving of large language models.
A multimodal protein language model for generative protein design and engineering by jointly reasoning over sequence, structure, and function.
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