System Info

• transformers version: 4.38.2
• Platform: Linux-6.5.0-14-generic-x86_64-with-glibc2.35
• Python version: 3.10.13
• Huggingface_hub version: 0.21.3
• Safetensors version: 0.4.2
• Accelerate version: 0.27.2
• Accelerate config: not found
• PyTorch version (GPU?): 2.0.1+cu117 (True)
• Tensorflow version (GPU?): not installed (NA)
• Flax version (CPU?/GPU?/TPU?): not installed (NA)
• Jax version: not installed
• JaxLib version: not installed
• Using GPU in script?:
• Using distributed or parallel set-up in script?:

With sentencepiece==0.2.0 and protobuf==4.25.3 installed

Who can help?

@ArthurZucker

Information

• The official example scripts
• My own modified scripts

Tasks

• An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
• My own task or dataset (give details below)

Reproduction

>>> from transformers import AutoTokenizer
>>> tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-7b-hf", local_files_only=True, add_prefix_space=False)
>>> tokenizer.tokenize("overheard")
['▁over', 'he', 'ard']

Also tried add_dummy_prefix_space=False, the output is still the same.

Expected behavior

The tokenize result should not add prefix space (SPIECE_UNDERLINE)