ValueError: 'aimv2' is already used by a Transformers config, pick another name.

Nobody has claimed this yet.

Using Python 3.12.5 on macOS (`pyenv` installed), with a clean venv and namo installed via `pip`, I get this error when importing anything under `namo.api.vl`

**Steps to reproduce:**
```console
❯ mkdir /tmp/namo_test && cd /tmp/namo_test
❯ pyenv install 3.12.5
❯ pyenv local 3.12.5
❯ python -m venv .venv
❯ source .venv/bin/activate
❯ python -m pip --isolated --no-cache-dir install "pip==25.2"
❯ python -m pip --isolated --no-cache-dir install "namo==0.0.9"
❯ python -c "from namo.api.vl import VLInfer"
```

**Error:**
```shell
Traceback (most recent call last):
File "", line 1, in
File "/tmp/namo_test/.venv/lib/python3.12/site-packages/namo/api/vl.py", line 9, in
from .namo import NamoVL
File "/tmp/namo_test/.venv/lib/python3.12/site-packages/namo/api/namo.py", line 10, in
from namo.models.namo import NamoForCausalLM
File "/tmp/namo_test/.venv/lib/python3.12/site-packages/namo/models/namo.py", line 17, in
from namo.models.vision.ve import get_ve
File "/tmp/namo_test/.venv/lib/python3.12/site-packages/namo/models/vision/__init__.py", line 10, in
AutoConfig.register("aimv2", AIMv2Config)
File "/tmp/namo_test/.venv/lib/python3.12/site-packages/transformers/models/auto/configuration_auto.py", line 1350, in register
CONFIG_MAPPING.register(model_type, config, exist_ok=exist_ok)
File "/tmp/namo_test/.venv/lib/python3.12/site-packages/transformers/models/auto/configuration_auto.py", line 1037, in register
raise ValueError(f"'{key}' is already used by a Transformers config, pick another name.")
ValueError: 'aimv2' is already used by a Transformers config, pick another name.
```

**Python Environment:**
```console
❯ python -m pip freeze
accelerate==1.10.1
aiohappyeyeballs==2.6.1
aiohttp==3.12.15
aiosignal==1.4.0
annotated-types==0.7.0
antlr4-python3-runtime==4.9.3
anyio==4.11.0
attrs==25.3.0
blobfile==3.1.0
cached-property==2.0.1
certifi==2025.8.3
charset-normalizer==3.4.3
click==8.3.0
coreai-all==0.1.0
datasets==4.1.1
dill==0.4.0
distro==1.9.0
einops==0.8.1
einx==0.3.0
fastapi==0.117.1
filelock==3.19.1
frozendict==2.4.6
frozenlist==1.7.0
fsspec==2025.9.0
h11==0.16.0
hf-xet==1.1.10
hf_transfer==0.1.9
httpcore==1.0.9
httpx==0.28.1
huggingface-hub==0.35.1
idna==3.10
Jinja2==3.1.6
jiter==0.11.0
kagglehub==0.3.13
loguru==0.7.3
lxml==6.0.2
MarkupSafe==3.0.2
mpmath==1.3.0
multidict==6.6.4
multiprocess==0.70.16
namo==0.0.9
natsort==8.4.0
networkx==3.5
numpy==2.3.3
omegaconf==2.3.0
openai==1.109.1
packaging==25.0
pandas==2.3.2
peft==0.17.1
pillow==11.3.0
propcache==0.3.2
psutil==7.1.0
pyarrow==21.0.0
pycryptodomex==3.23.0
pydantic==2.11.9
pydantic_core==2.33.2
pydub==0.25.1
python-datauri==3.0.2
python-dateutil==2.9.0.post0
pytz==2025.2
PyYAML==6.0.2
regex==2025.9.18
requests==2.32.5
safetensors==0.6.2
sentencepiece==0.2.1
setuptools==80.9.0
shortuuid==1.0.13
six==1.17.0
sniffio==1.3.1
starlette==0.48.0
sympy==1.14.0
termcolor==3.1.0
tiktoken==0.11.0
timm==1.0.20
tokenizers==0.22.1
torch==2.8.0
torchao==0.13.0
torchdata==0.11.0
torchtune==0.6.1
torchvision==0.23.0
tqdm==4.67.1
transformers==4.56.2
typing-inspection==0.4.1
typing_extensions==4.15.0
tzdata==2025.2
urllib3==2.5.0
uvicorn==0.37.0
vector-quantize-pytorch==1.23.2
xxhash==3.5.0
yarl==1.20.1
```

Reproduce the import in the clean Python 3.12.5 virtual environment and inspect namo/models/vision/__init__.py, where the traceback shows the AutoConfig registration. Confirm the import succeeds without the existing Transformers config-name collision, then rerun `python -c "from namo.api.vl import VLInfer"`.

Written by the indexing model from the issue text.