Migrate model/metadata loading from wandb to HuggingFace

[avantikalal]

Summary

• Replaces broken grelu.resources.get_artifact() / wandb-based loading with hf_hub_download from HuggingFace Hub
• Model weights: Genentech/decima-model, metadata: Genentech/decima-data
• Preserves full wandb support for internal/private models in new decima.hub.wandb submodule (uses wandb.Api() directly, no gReLU dependency)
• Drops upper bound on gReLU pin (>=1.0.10)

Changes

File	Change
src/decima/constants.py	Add HF_MODEL_REPO, HF_DATA_REPO, HF_METADATA_FILENAME
src/decima/hub/__init__.py	Rewrite: HuggingFace primary backend, local paths preserved
src/decima/hub/wandb.py	New: all wandb functions via wandb.Api() directly
src/decima/hub/download.py	Update: hf_hub_download with local_dir
setup.cfg	Add huggingface_hub dep, add wandb/hf pytest markers
tests/test_hub.py	Update to HF; mark model/metadata tests @pytest.mark.hf
tests/conftest.py	Remove login_wandb() call (HF is public)

Internal user migration

# Before
from decima.hub import load_decima_model

# After (for private/internal wandb models)
from decima.hub.wandb import load_decima_model
model = load_decima_model("private_model", host="https://internal.wandb.company.com")

Test plan

• test_hf_constants — constants correct
• 39 tests pass with pytest -m "not wandb and not hf and not long_running"
• test_load_result passes (downloads metadata.h5ad from HF, ~3.3 GB)
• @pytest.mark.hf tests (full model download) — require HF network access
• @pytest.mark.wandb tests — require wandb credentials

🤖 Generated with Claude Code