Add files using upload-large-folder tool

scorer_pretrain/scorer_v1/checkpoint-last.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:91503969d58ff45005ea0a66e28aebffb1b540ff0e145b42853ac47baa80c0b8
+size 3940697972

scorer_pretrain/scorer_v1/upload_to_hf.py

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+#!/usr/bin/env python3
+"""Upload checkpoint to Hugging Face Hub."""
+
+import os
+import sys
+from huggingface_hub import HfApi, login
+
+HF_TOKEN = os.environ.get("HF_TOKEN")
+if not HF_TOKEN:
+    print("Error: Set HF_TOKEN environment variable with your Hugging Face token")
+    print("Example: export HF_TOKEN='your_token_here'")
+    sys.exit(1)
+
+REPO_ID = "slam-e2e/trained_model"
+FILES = [
+    ("checkpoint-last.pth", "checkpoint-last.pth"),
+    ("train.log", "train.log"),
+]
+
+print(f"Logging in to Hugging Face...")
+login(token=HF_TOKEN)
+
+api = HfApi()
+
+for local_path, repo_path in FILES:
+    print(f"\nUploading {local_path} -> {repo_path}...")
+    try:
+        api.upload_file(
+            path_or_fileobj=local_path,
+            path_in_repo=repo_path,
+            repo_id=REPO_ID,
+        )
+        print(f"✓ Successfully uploaded {local_path}")
+    except Exception as e:
+        print(f"✗ Failed to upload {local_path}: {e}")
+        raise
+
+print("\n✓ All uploads complete!")

scorer_pretrain/trained_model/checkpoint-last.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:91503969d58ff45005ea0a66e28aebffb1b540ff0e145b42853ac47baa80c0b8
+size 3940697972