Results for “model-download”
12 skills
huggingface Hf CLI
Manage Hugging Face Hub resources: download/upload models, datasets, spaces; manage repos, buckets, collections, discussions, and cache; run SQL queries on datasets; authenticate and manage tokens.
10.8k
tools-only 172 Rvc 7a57af2e
Guides downloading and configuring RVC voice conversion models, including HuBERT and index files, and running voice conversion scripts.
7 · bundle
lord1egypt Huggingface Hub
Operate Hugging Face Hub repositories, models, datasets, and Spaces via the hf CLI, including downloads, uploads, authentication, and compute jobs.
2
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scoheart Hf CLI
Manage Hugging Face Hub resources via the `hf` CLI: download and upload models, datasets, and spaces; manage buckets, cache, collections, discussions, and inference endpoints; run SQL queries on datasets.
2 · bundle
huggingface Huggingface Local Models
Search the Hugging Face Hub for llama.cpp-compatible GGUF models, select the right quantization, and run them locally with llama-cli or llama-server.
10.8k · bundle
infinition Llama Cpp
Run GGUF models locally with llama.cpp, including finding the right file on the Hugging Face Hub, installing, quantizing, serving, and using Python bindings.
2 · bundle
nvidia Deepstream Import Vision Model
Import object detection models from HuggingFace or NVIDIA NGC into a DeepStream pipeline with automated ONNX download, TensorRT engine build, custom parser, multi-stream benchmark, and PDF report generation.
2.2k · bundle
huggingface Hf Mem
Estimates the memory required to load Safetensors or GGUF model weights for inference from the Hugging Face Hub, using HTTP Range requests without downloading weights.
10.8k
google Agent Platform Model Registry
Manage machine learning models in the Agent Platform Model Registry: list, describe, upload, update, and delete models and their versions.
14.4k
google-gemma Gemma Dev
Selects the right Gemma model for a task, recommends deployment tooling (Gradio, Transformers.js, Vertex AI, MLX), and applies optimizations like MTP and QAT.
· bundle
antigravity Hf Mem
Estimates GPU memory required to load Safetensors or GGUF model weights for inference from the Hugging Face Hub using HTTP Range requests, without downloading weights locally.
42.4k
lingxling Hf Mem
Estimates memory requirements for running Hugging Face models, including optional KV cache, using HTTP range requests without downloading weights.
253