Download models and datasets from the Hugging Face Hub.
npx skills add https://github.com/rustykuntz/rocie-tools --skill huggingface-rustykuntz
Please help me install this Agent Skill. Skill: huggingface Source: https://github.com/rustykuntz/rocie-tools/tree/main/skills/huggingface Command: npx skills add https://github.com/rustykuntz/rocie-tools --skill huggingface-rustykuntz
This Skill simplifies the process of interacting with the Hugging Face Hub, enabling users to download models and datasets, manage repositories, and run inference tasks without complex manual steps.
Llama-3.2-1B-Instruct model and its tokenizer files for local experimentation.Use the huggingface skill to download the model 'meta-llama/Llama-3.2-1B-Instruct'.
High-intent search queries and answers about installing and using this skill.
To download a Hugging Face model, you can use this Skill to fetch models and datasets directly from the Hugging Face Hub to your local environment. It simplifies retrieving model files and tokenizers without manual steps.
Yes, you can manage Hugging Face repositories by creating, uploading to, and managing your own models and datasets. This Skill integrates with the Hub CLI to streamline repository management and dataset uploads.
You can run inference jobs by utilizing Hugging Face's remote infrastructure to execute compute-intensive tasks. This Skill facilitates remote compute job execution and inference endpoint deployment.
Handling model versioning and dataset management for MLOps is facilitated through the Hugging Face Hub CLI. This Skill supports operations like model versioning and dataset uploads to streamline MLOps workflows.
The Skill integrates with the Hugging Face Hub CLI for streamlined access to manage repositories and download datasets. Using the CLI ensures you can fully utilize operations like model versioning and inference endpoint deployment.
DifanaDAPManage Hugging Face Hub models and datasets via CLI.
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blueskies1818Manage Hugging Face Hub models and datasets via CLI and Python libraries.