Lightweight demos for finetuning LLMs. Powered by 🤗 transformers and open-source datasets.
-
Updated
Jul 5, 2024 - Jupyter Notebook
Lightweight demos for finetuning LLMs. Powered by 🤗 transformers and open-source datasets.
LLM Chatbot from pretrained LLaMA-2 model fine-tuned with PDF data. Website interface using Django and React.
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Web AI
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
Unify Efficient Fine-Tuning of 100+ LLMs
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & Mixtral)
Accelerate your training with this open-source library. Optimize performance with streamlined training and serving options with JAX. 🚀
A PyTorch-based Speech Toolkit
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Implementation for the different ML tasks on Kaggle platform with GPUs.
Open source real-time translation app for Android that runs locally
Symbolic Regression with Univariate Skeleton Prediction in Multivariate Systems Using Transformers
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
State of the Art Natural Language Processing
Implementation of lightweight transformer model for character level text generation
MoE Decoder Transformer implementation with MLX
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Small project for binary classification of sexist sentences
Add a description, image, and links to the transformers topic page so that developers can more easily learn about it.
To associate your repository with the transformers topic, visit your repo's landing page and select "manage topics."