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download_models.py

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+import os
+from huggingface_hub import hf_hub_download, snapshot_download
+
+# Target directory for models
+target_dir = "Models"
+os.makedirs(target_dir, exist_ok=True)
+
+# Download specific files (Folds 1–5) from willieseun/Eagle-Team-TabPFN
+print("Downloading fold models from willieseun/Eagle-Team-TabPFN...")
+for i in range(1, 6):
+    file_name = f"Fold_{i}_best_model.tabpfn_fit"
+    model_path = hf_hub_download(
+        repo_id="willieseun/Eagle-Team-TabPFN",
+        filename=file_name,
+        local_dir=target_dir
+    )
+    print(f"Downloaded: {model_path}")
+
+# Download full snapshot from wayne-chi/Eagle_Team
+print("\nDownloading snapshot from wayne-chi/Eagle_Team...")
+snapshot_download(
+    repo_id="wayne-chi/Eagle_Team",
+    revision="main",  # Optional, default is "main"
+    local_dir=target_dir,
+    local_dir_use_symlinks=False
+)
+
+print("\n✅ All models downloaded successfully to:", target_dir)

requirements.txt

@@ -1,3 +1,21 @@
-altair
-pandas
-streamlit
+tabpfn-extensions @ git+https://github.com/PriorLabs/tabpfn-extensions.git@16e0e4f4305a3546eab5be6ebf163ff41bd3843d
+scikit-learn==1.5.1
+huggingface_hub
+autogluon
+tabpfn==2.0.9
+streamlit==1.43.0
+numpy==1.26.4
+pandas==2.2.3
+matplotlib
+matplotlib-inline==0.1.7
+seaborn==0.13.2
+torch
+setuptools
+boto3==1.40.2
+accelerate==1.9.0
+certifi==2025.7.14
+catboost==1.2.8
+charset-normalizer==3.4.2
+coreforecast==0.0.16
+fastai==2.7.19
+

setup.sh

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+#!/bin/bash
+python download_models.py