Sergio Paniego Blanco
sergiopaniego
Machine Learning Engineer @huggingface 🤗 AI PhD 🏳️🌈
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Simple RAG tutorials that can be run locally or using Google Colab (only Pro version).
This repository contains the Hugging Face Agents Course.
A course on robotics by Hugging Face using LeRobot.
Train transformer language models with reinforcement learning.
Repositories
73Simple RAG tutorials that can be run locally or using Google Colab (only Pro version).
No description provided.
Hugging Face Deep Learning Containers (DLCs) for Google Cloud
An interface library for RL post training with environments.
This repository contains the Hugging Face Agents Course.
Documentation for Google's Gen AI site - including the Gemini API and Gemma
A course on robotics by Hugging Face using LeRobot.
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
A high-throughput and memory-efficient inference and serving engine for LLMs
The official Python SDK for the Perceptron API
Config files for my GitHub profile.
TRL-specific job runner built on hfjobs
A lightweight, local-first, and free experiment tracking Python library built on top of 🤗 Datasets and Spaces.
No description provided.
No description provided.
Collection of scripts and notebooks for OpenAI's latest GPT OSS models
Examples and guides for using the OpenAI API
No description provided.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Train transformer language models with reinforcement learning.
Fine tune Gemma 3 on an object detection task
This repository contains demos I made with the Transformers library by HuggingFace.
Self description
Public repo for HF blog posts
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.
No description provided.
Open-source AI cookbook
EfficientViT is a new family of vision models for efficient high-resolution vision.
Recipes to scale inference-time compute of open models