fix: pass config args to t0 construction

pyproject.toml

@@ -93,7 +93,7 @@ dependencies = [
   "statsforecast>=2.0.2",
   "tabpfn-time-series==1.0.3 ; python_full_version < '3.13'",
   "tensorboard>=2.20.0",
-  "tfc-t0>=0.2.0 ; python_full_version >= '3.11' and python_full_version < '3.14'",
+  "tfc-t0>=0.2.3 ; python_full_version >= '3.11' and python_full_version < '3.14'",
   "timecopilot-chronos-forecasting>=0.2.2",
   "timecopilot-granite-tsfm>=0.2.1 ; python_full_version >= '3.11' and python_full_version < '3.14'",
   "timecopilot-timesfm>=0.3.0",

timecopilot/models/foundation/t0.py

@@ -1,3 +1,4 @@
+import json
 import sys
 from contextlib import contextmanager
 
@@ -7,6 +8,8 @@
 import numpy as np
 import pandas as pd
 import torch
+from huggingface_hub import hf_hub_download
+from huggingface_hub.constants import CONFIG_NAME
 from t0 import T0Forecaster
 from tqdm import tqdm
 
@@ -87,7 +90,14 @@ def __init__(
 
     @contextmanager
     def _get_model(self) -> T0Forecaster:
-        model = T0Forecaster.from_pretrained(self.repo_id).to(self.device).eval()
+        # huggingface_hub may not inject config.json into model kwargs when the
+        # checkpoint repo is gated; pass the config explicitly.
+        config_path = hf_hub_download(self.repo_id, CONFIG_NAME)
+        with open(config_path, encoding="utf-8") as f:
+            config = json.load(f)
+        model = (
+            T0Forecaster.from_pretrained(self.repo_id, **config).to(self.device).eval()
+        )
         try:
             yield model
         finally: