huggingface-transformers

⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.

Chronos: Pretrained Models for Time Series Forecasting

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

A programmable Mixture-of-Models router for heterogeneous LLM inference

Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM

中文nlp解决方案(大模型、数据、模型、训练、推理)

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Label, clean and enrich text datasets with LLMs.

[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Simple UI for LLM Model Finetuning

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more

Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js

Exact structure out of any language model completion.

Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed

Low latency JSON generation using LLMs ⚡️

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

Browser-only Canva-style presentation studio, powered by local Web AI.

Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.