Hugging Face

API Commands

Interact with Hugging Face Hub API. Search models, list datasets, manage repository settings, and access inference endpoints programmatically.

7 commands

Pro Tips

Use 'huggingface-cli repo-info' to get model card, tags, and download stats.

Filter model searches with --library, --task, and --author flags.

Use the Python huggingface_hub library for complex API operations.

Common Mistakes

API rate limits apply - implement backoff for bulk operations.

Inference API has usage limits - consider dedicated endpoints for production.

Commands

Get repo info

$ huggingface-cli repo-info meta-llama/Llama-2-7b-hf

Display repository metadata and statistics.

Create repo

$ huggingface-cli repo create my-new-model --type model

Create a new model repository on the Hub.

Create dataset repo

$ huggingface-cli repo create my-dataset --type dataset --private

Create a new private dataset repository.

List files in repo

$ huggingface-cli repo-info meta-llama/Llama-2-7b-hf --files

List all files in a repository.

Search models

$ python -c "from huggingface_hub import HfApi; api=HfApi(); print([m.id for m in api.list_models(filter='llama', limit=5)])"

Search for models by name or filter.

Get model tags

$ python -c "from huggingface_hub import model_info; print(model_info('bert-base-uncased').tags)"

Retrieve model tags and metadata.

Check disk usage

$ huggingface-cli repo-info my-org/my-model --disk-usage

Show repository storage usage.