Repositories

pb.repos.create(
    name: str,                    # Name for the repository
    description: str = None,      # Description for the repository
    exists_ok: bool = False       # If True, doesn't raise error if exists
) -> Repository

# Create a new adapter repository
repo = pb.repos.create(
    name="text-summarization",
    description="Experiments for fine-tuning summarization models"
)

# Create a repository or get it if it already exists
repo = pb.repos.create(
    name="customer-support-bot",
    description="Models for customer support automation",
    exists_ok=True
)

pb.repos.get(
    name: str                    # Name of the repository
) -> Repository

# Get a repository by name
repo = pb.repos.get("text-summarization")

# Print repository details
print(f"Repository: {repo.name}")
print(f"Description: {repo.description}")

pb.repos.list(
    limit: int = 10,           # Maximum number of repos to return
) -> list[Repository]

from predibase import SFTConfig

# Create a repository
repo = pb.repos.create(name="my-experiments", description="My fine-tuning experiments", exists_ok=True)

# Create an adapter in the repository
adapter = pb.adapters.create(
    config=SFTConfig(
        base_model="qwen3-8b"
    ),
    dataset="my-dataset",
    repo=repo.name,  # Use the repository name
    description="First fine-tuning experiment"
)