Tagged huggingface

Tokenize text fast with BPE or WordPiece and train custom vocabularies

Run GGUF models locally with llama.cpp and find models on the Hugging Face Hub

Build a small test slice of a Hugging Face model by fetching only needed tensors

Load Hugging Face models, run pipelines and fine-tune with the Transformers Trainer

Download, upload and manage Hugging Face models, datasets and repos with the hf CLI

Create Hugging Face datasets with configs, streaming updates and SQL queries

Add evaluation results to Hugging Face model cards from READMEs and benchmark APIs

Run Python scripts and Docker workloads on Hugging Face Jobs with GPU hardware

Fine-tune language models with SFT, DPO and GRPO using TRL on cloud GPUs

Publish research papers to Hugging Face Hub and link them to models and datasets

Build reusable scripts that fetch and process data from the Hugging Face API

Log training metrics and visualize ML experiments with Trackio dashboards

Train and run fast Hugging Face tokenizers for BPE, WordPiece and Unigram models

Train mixture-of-experts models with DeepSpeed or Hugging Face for lower compute cost

Generate, edit and inpaint images with Stable Diffusion through Hugging Face Diffusers

Fine-tune LLMs with LoRA or QLoRA adapters and JSONL datasets using Hugging Face PEFT

Generate text with MiniCPM5 in a Python script using Hugging Face Transformers

Download, upload and manage Hugging Face models and datasets with the hf CLI

Search Hugging Face models, datasets, Spaces and papers through the MCP server

Find the best model for a task and compare models by benchmark scores

Run model evaluations locally with inspect-ai and lighteval on your own GPUs

Fetch dataset rows, splits, filters and parquet links from the Hugging Face viewer API

Build Gradio apps, demos and chatbots in Python with layouts and event listeners

Fine-tune language and vision models with TRL or Unsloth on cloud GPUs

Run GGUF models locally with llama.cpp and pick quantizations for your hardware

Build and publish a Gradio demo on Hugging Face Spaces for a LoRA adapter

Read Hugging Face paper pages and pull paper metadata, linked models and code

Build, deploy and debug apps on Hugging Face Spaces, including ZeroGPU

Log training metrics, alerts and dashboards for ML experiments with Trackio

Train object detection, image classification and segmentation models on cloud GPUs

Write and review ZeroGPU code for Gradio Spaces using the @spaces.GPU decorator

Run Hugging Face models in JavaScript or TypeScript for text, vision and audio tasks

Upload evaluation result folders to Hugging Face dataset repos with sparse checkout

Find code examples, GitHub issues, developer discussions and Hugging Face models

Run pretrained Hugging Face transformers for text, vision and speech tasks

Import detection models from Hugging Face or NGC into DeepStream with TensorRT

Convert Hugging Face Trainer or SFTTrainer code into an NVFLARE federated job

Fine-tune any Hugging Face vision, VLM or LLM model on local NVIDIA GPUs

Wire a Hugging Face vision model into TAO config, trainer and TensorRT pipeline

Patch TileGym GPU kernels into Hugging Face transformers models before loading

Search, download and upload Hugging Face models and datasets with the hf CLI

Navigate the Hugging Face TRL library's trainers and shared utilities

Run HuggingFace models for text classification, embeddings and summarization

Add distributed and mixed-precision training to PyTorch with Hugging Face Accelerate

Fetch and rank recent arXiv and Hugging Face papers for a daily digest

Track trending Hugging Face models and datasets with notable shifts explained

Find ML training datasets across Hugging Face, OpenML, GitHub and paper references

Run HuggingFace transformer models for classification, NER and embeddings