“Hugging Face”

Open Daniel Rosehill's Hugging Face profile pages — models, datasets, or spaces — in the browser.

Trending Hugging Face models, datasets, and spaces — filtered by license sanity, dedup vs same-week quantizations, with a "why notable" line per pick…

Rank this month's newly published Hugging Face text-generation, text-to-image, and text-to-audio models by likes and save a Traditional Chinese Top 5 survey…

Curated trending across GitHub repos and the Hugging Face Hub (models, datasets, spaces) - filtered, clustered, and labeled by momentum with a one-line…

Use Hugging Face Hub via MCP server tools.

Inspect and manage Hugging Face Hub models, datasets, Spaces, repositories, cache, authentication, and downloads with the current hf CLI.

Runs an end-to-end AMD Quark post-training quantization workflow for PyTorch / Hugging Face LLMs: inspect a Hub or local model, choose a quantization plan…

Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal…

Runs an end-to-end AMD Quark post-training quantization workflow for PyTorch / Hugging Face LLMs: inspect a Hub or local model, choose a quantization plan…

Build and validate local browser or Bun inference with Hugging Face Transformers.js, WebGPU or WASM backends, quantization, caching, and cleanup.

Use the `hf` CLI tool to interact with Hugging Face Hub — downloading models/datasets, uploading files, managing repos, running jobs, and managing…

Use when setting up Cosmos3 access through NPA, checking source or Hugging Face reachability, staging the public Cosmos3 framework and checkpoint cache, or…

Use when Cosmos3 setup, fetch, inference, CUDA, uv, Docker, Hugging Face, GitHub, NGC, or checkpoint staging fails in NPA or in an upstream Cosmos framework…

Prepare, verify, and resume operator-owned Hugging Face or NVIDIA NGC access for exact NPA dependencies, including human-bound upstream approvals, while…

Curate generated images into a clean training dataset, validate metadata, remove duplicates, and sync manifests/assets to Hugging Face.

Deploy, inspect, warm, cache, and troubleshoot the Modal + ComfyUI image backend and Hugging Face storage.

Use when building Hugging Face smolagents, code-executing agents, Python-action agents, Hub-shared tools, or lightweight agent prototypes that need sandboxing…

Create or edit a vllm-on-tap custom preset in .vot/presets/ from a free-form request - a model of interest, a Hugging Face link, a GPU, a constraint.

Use this skill for Hugging Face Diffusers tasks: pipeline inference, schedulers, adapters/loaders, training recipes, modular pipelines, conversion helpers…

Use this skill when working with Hugging Face Datasets: loading local or Hub datasets, defining Features schemas, processing/streaming datasets, converting…

Use Hugging Face Accelerate for PyTorch training-loop migration, distributed launch/configuration, DeepSpeed/FSDP/TPU backend setup, big-model…

Use Hugging Face Evaluate to load metrics, comparisons, and measurements; compute and combine results; run evaluator pipelines; create custom modules…

Use bitsandbytes for k-bit PyTorch quantization, Hugging Face quantized model loading, 8-bit and paged optimizers, direct quantized layers/functions, and…

Write a short landscape note for this idea only covering relevant firms, Hugging Face or open source gravity, and timing news.