Upload rl_code/verl/utils/tokenizer.py with huggingface_hub

rl_code/verl/utils/tokenizer.py

@@ -0,0 +1,51 @@
+# Copyright 2024 Bytedance Ltd. and/or its affiliates
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Utils for tokenization."""
+
+from typing import Optional
+
+from transformers import AutoProcessor, AutoTokenizer, PreTrainedTokenizer, ProcessorMixin
+
+
+def get_tokenizer(model_path: str, override_chat_template: Optional[str] = None, **kwargs) -> PreTrainedTokenizer:
+    """Create a huggingface pretrained tokenizer."""
+    tokenizer = AutoTokenizer.from_pretrained(model_path, **kwargs)
+    if override_chat_template is not None:
+        tokenizer.chat_template = override_chat_template
+
+    if tokenizer.bos_token == "<bos>" and tokenizer.eos_token == "<eos>":
+        # the EOS token in gemma2 & gemma3 is ambiguious, which may worsen RL performance.
+        # https://huggingface.co/google/gemma-2-2b-it/commit/17a01657f5c87135bcdd0ec7abb4b2dece04408a
+        print("Found gemma model. Set eos_token and eos_token_id to <end_of_turn> and 107.")
+        tokenizer.eos_token = "<end_of_turn>"
+
+    if tokenizer.pad_token_id is None:
+        print("Pad token is None. Set it to eos_token.")
+        tokenizer.pad_token = tokenizer.eos_token
+
+    return tokenizer
+
+
+def get_processor(model_path: str, override_chat_template: Optional[str] = None, **kwargs) -> Optional[ProcessorMixin]:
+    """Create a huggingface pretrained processor."""
+    processor = AutoProcessor.from_pretrained(model_path, **kwargs)
+    if override_chat_template is not None:
+        processor.chat_template = override_chat_template
+
+    # Avoid load tokenizer, see:
+    # https://github.com/huggingface/transformers/blob/v4.52.4/src/transformers/models/auto/processing_auto.py#L386
+    if processor is not None and "Processor" not in processor.__class__.__name__:
+        processor = None
+
+    return processor