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fix_tokenizer.py

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+import os 
+import shutil
+import json
+import transformers
+import inspect
+from detect_tokenizer import detect
+
+MODEL_DIR = os.environ.get("MODEL_DIR", "/model")
+OUT_DIR = os.environ.get("FIX_TOKENIZER_DIR", "/tmp/fixed_tokenizer")
+
+os.makedirs(OUT_DIR, exist_ok=True)
+
+def copy_if_exists(name):
+    src = os.path.join(MODEL_DIR, name)
+    if os.path.exists(src):
+        shutil.copy(src, OUT_DIR)
+
+for f in [
+    "tokenizer.json",
+    "tokenizer_config.json",
+    "special_tokens_map.json",
+    "vocab.json",
+    "merges.txt",
+    "tokenizer.model",
+]:
+    copy_if_exists(f)
+
+typ, orig_cls = detect(MODEL_DIR)
+
+cfg_path = os.path.join(OUT_DIR, "tokenizer_config.json")
+
+if os.path.exists(cfg_path):
+    with open(cfg_path) as f:
+        cfg = json.load(f)
+else:
+    cfg = {}
+
+VALID_CLASSES = {
+    name for name, obj in inspect.getmembers(transformers)
+    if inspect.isclass(obj) and "Tokenizer" in name
+}
+
+BAD_CLASSES = {"TokenizersBackend", "TiktokenTokenizer"}
+
+FALLBACK = {
+    "fast": "PreTrainedTokenizerFast",
+    "sentencepiece": "LlamaTokenizer",
+    "bpe": "GPT2TokenizerFast",
+}
+
+if orig_cls and orig_cls in VALID_CLASSES and orig_cls not in BAD_CLASSES:
+    print(f"[fix_tokenizer] tokenizer_class '{orig_cls}' is valid, skip override")
+else:
+    fallback = FALLBACK.get(typ, "PreTrainedTokenizerFast")
+    if orig_cls:
+        print(f"[fix] override bad tokenizer_class: {orig_cls} → {fallback}")
+    else:
+        print(f"[fix] tokenizer_class missing, set to: {fallback}")
+    cfg["tokenizer_class"] = fallback
+
+with open(cfg_path, "w") as f:
+    json.dump(cfg, f)
+
+print(f"[fix_tokenizer] done → {OUT_DIR}")