from transformers import AutoTokenizer
from onnxruntime_extensions import gen_processing_models
tokenizer = AutoTokenizer.from_pretrained("cross-encoder/monoelectra-base", use_fast = False)
gen_processing_models(tokenizer, pre_kwargs={})[0]

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[17], line 1
----> 1 onnx_tokenizer_model = gen_processing_models(tokenizer, pre_kwargs={})[0]

File /opt/homebrew/Caskroom/miniconda/base/envs/bedrock/lib/python3.12/site-packages/onnxruntime_extensions/cvt.py:306, in gen_processing_models(processor, pre_kwargs, post_kwargs, opset, schema_v2, **kwargs)
    303     return make_onnx_model(pre_g) if pre_g else None, \
    304         make_onnx_model(post_g) if post_g else None
    305 else:
--> 306     raise ValueError(f"Unsupported processor/tokenizer: {cls_name}")

ValueError: Unsupported processor/tokenizer: ElectraTokenizer