huggingface-transformers

SDK for using LLM

Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.

Improving Chest X-Ray Report Generation by Leveraging Warm-Starting

Flowchart-like UI to interconnect LLM's and Huggingface models, and deploy them as a REST API with little to no code.

The Natural Portuguese Language Benchmark (Napolab). Stay up to date with the latest advancements in Portuguese language models and their performance across carefully curated Portuguese language tasks.

[ICML 2026] Decoding Tree Sketching (DTS): a training-free & model agonistic & plug-in framework for LLM parallel reasoning.

Easy modernBERT fine-tuning and multi-task learning

Deploy, serve, and run a Hugging Face model on a Raspberry Pi with just a few lines of code

A lightweight Python library that allows any LLM agent to self-improve through feedback, without retraining models.

A data-centric AI package for ML/AI. Get the best high-quality data for the best results. Discord: https://discord.gg/t6ADqBKrdZ

AI tool that generates an Audio short story based on the context of an uploaded image by prompting a GenAI LLM model, Hugging Face AI models together with OpenAI & LangChain

This Repository contains the real life use cases of GenAI (LLM+RAG) in Finance Domain. I covers many projects use cases with theory and projects.

Testing speed and accuracy of RAG with, and without Cross Encoder Reranker.

Training & Implementation of chatbots leveraging GPT-like architecture with the aitextgen package to enable dynamic conversations.

spaCy-wrap is a wrapper library for spaCy for including fine-tuned transformers from Huggingface in your spaCy pipeline allowing you to include existing fine-tuned models within your SpaCy workflow.

CLIP-based aesthetics predictor inspired by the interface of 🤗 huggingface transformers.

Getting started with Hugging Face

An ASR (Automatic Speech Recognition) adversarial attack repository.

Developed a sophisticated machine learning model capable of generating diverse interview questions aligned with specific topics, ensuring depth of conversation. Integrated advanced Natural Language Processing (NLP) algorithms to analyse spoken responses, identifying grammatical errors & offering accurate corrections after the interview.

Easy to use LLM Prompt Injection Detection and Prompt Input Sanitization / Detector Python Package with support for local models, API-based safeguards, safeguard for tool calls, and LangChain guardrails.