Revert error back into warning for byte fallback conversion.

src/transformers/convert_slow_tokenizer.py

@@ -19,6 +19,7 @@ All the conversions are grouped here to gather SentencePiece dependencies outsid
 allow to make our dependency on SentencePiece optional.
 """
 
+import warnings
 from typing import Dict, List, Tuple
 
 from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, processors
@@ -450,7 +451,7 @@ class SpmConverter(Converter):
 
         if self.proto.trainer_spec.byte_fallback:
             if not getattr(self, "handle_byte_fallback", None):
-                raise RuntimeError(
+                warnings.warn(
                     "The sentencepiece tokenizer that you are converting to a fast tokenizer uses the byte fallback option"
                     " which is not implemented in the fast tokenizers. In practice this means that the fast version of the"
                     " tokenizer can produce unknown tokens whereas the sentencepiece version would have converted these "

tests/utils/test_convert_slow_tokenizer.py

@@ -24,10 +24,12 @@ class ConvertSlowTokenizerTest(unittest.TestCase):
 
         original_tokenizer_with_bytefallback = FakeOriginalTokenizer(vocab_file=spm_model_file_with_bytefallback)
 
-        with self.assertRaises(RuntimeError) as cm:
+        with warnings.catch_warnings(record=True) as w:
             _ = SpmConverter(original_tokenizer_with_bytefallback)
+        self.assertEqual(len(w), 1)
+
         self.assertIn(
             "The sentencepiece tokenizer that you are converting to a fast tokenizer uses the byte fallback option"
             " which is not implemented in the fast tokenizers.",
-            str(cm.exception),
+            str(w[0].message),
         )