huggingface-transformers

Phoneme Recognition using pre-trained models Wav2vec2, HuBERT and WavLM. Throughout this project, we compared specifically three different self-supervised models, Wav2vec (2019, 2020), HuBERT (2021) and WavLM (2022) pretrained on a corpus of English speech that we will use in various ways to perform phoneme recognition for different languages with a network trained with Connectionist Temporal Classification (CTC) algorithm.

Amazon SageMaker Local Mode Examples

Easy-Translate is a script for translating large text files with a SINGLE COMMAND. Easy-Translate is designed to be as easy as possible for beginners and as seamlesscustomizable and as possible for advanced users.

Thonburian Whisper: Open models for fine-tuned Whisper in Thai. Try our demo on Huggingface space:

A codebase that makes differentially private training of transformers easy.

[ACL 2024] User-friendly evaluation framework: Eval Suite & Benchmarks: UHGEval, HaluEval, HalluQA, etc.

extending stable diffusion prompts with suitable style cues using text generation

A tool that transforms audio or video files into text transcripts and generates concise meeting minutes. Stay organized and efficient in your meetings, and get ready for Phase 2 where we'll be open for contributions to enable real-time meeting transcription!

[COLM-2024] List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs

Dreambooth implementation based on Stable Diffusion with minimal code.

A convenient way to link, deduplicate, aggregate and cluster data(frames) in Python using deep learning

A little wrapper for hugging face transformers in C#

This repository guides you through the process of building a GPT-style Large Language Model (LLM) from scratch using PyTorch. The structure and approach are inspired by the book Build a Large Language Model (From Scratch) by Sebastian Raschka.

Learn GenAI and Agentic AI from Zero to Production

AI Engineering Specially Topics- Agentic AI & GenAI Explanation

Hands-on MLOps projects to explore and learn the practical aspects of machine learning engineering for production.

Fine-Tuning Falcon-7B, LLAMA 2 with QLoRA to create an advanced AI model with a profound understanding of the Indian legal context.

Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*