T5Gemma failing on provided example #39522
Description
System Info
transformersversion: 4.53.2- Platform: Linux-6.14.0-23-generic-x86_64-with-glibc2.41
- Python version: 3.13.3
- Huggingface_hub version: 0.33.4
- Safetensors version: 0.5.3
- Accelerate version: 1.8.1
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed_type: NO
- mixed_precision: bf16
- use_cpu: False
- debug: False
- num_processes: 1
- machine_rank: 0
- num_machines: 1
- gpu_ids: all
- rdzv_backend: static
- same_network: True
- main_training_function: main
- enable_cpu_affinity: True
- downcast_bf16: no
- tpu_use_cluster: False
- tpu_use_sudo: False
- tpu_env: []
- dynamo_config: {'dynamo_backend': 'INDUCTOR'}
- DeepSpeed version: not installed
- PyTorch version (accelerator?): 2.7.1+cu128 (CUDA)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
- Using distributed or parallel set-up in script?:
- Using GPU in script?:
- GPU type: NVIDIA GeForce RTX 5060 Ti
Who can help?
@ArthurZucker and @itazap
Information
- The official example scripts
- My own modified scripts
Tasks
- An officially supported task in the
examplesfolder (such as GLUE/SQuAD, ...) - My own task or dataset (give details below)
Reproduction
Run the example from the T5Gemma docs page.
echo -e "Question: Why is the sky blue? Answer:" | transformers run --task text2text-generation --model google/t5gemma-s-s-ul2 --device 0
Expected behavior
When I run I get:
File ".venv/lib/python3.13/site-packages/transformers/configuration_utils.py", line 209, in __getattribute__
return super().__getattribute__(key)
~~~~~~~~~~~~~~~~~~~~~~~~^^^^^
AttributeError: 'T5GemmaConfig' object has no attribute **'vocab_size'**
Indeed. The vocab_size is a sub attribute from encoder/decoder, not a direct attribute.