Using `auto_map` in `tokenizer_config.json` gives `TypeError: argument of type 'NoneType' is not iterable`
Author: larrylawl
Pull request: no

### System Info

certifi==2022.12.7
charset-normalizer==3.1.0
cmake==3.26.3
filelock==3.12.0
fsspec==2023.4.0
huggingface-hub==0.14.0
idna==3.4
Jinja2==3.1.2
lit==16.0.2
MarkupSafe==2.1.2
mpmath==1.3.0
networkx==3.1
numpy==1.24.3
nvidia-cublas-cu11==11.10.3.66
nvidia-cuda-cupti-cu11==11.7.101
nvidia-cuda-nvrtc-cu11==11.7.99
nvidia-cuda-runtime-cu11==11.7.99
nvidia-cudnn-cu11==8.5.0.96
nvidia-cufft-cu11==10.9.0.58
nvidia-curand-cu11==10.2.10.91
nvidia-cusolver-cu11==11.4.0.1
nvidia-cusparse-cu11==11.7.4.91
nvidia-nccl-cu11==2.14.3
nvidia-nvtx-cu11==11.7.91
packaging==23.1
PyYAML==6.0
regex==2023.3.23
requests==2.28.2
sentencepiece==0.1.98
sympy==1.11.1
tokenizers==0.13.3
torch==2.0.0
tqdm==4.65.0
-e git+https://github.com/huggingface/transformers.git@073baf7f2289dbbf99e29f375e40c3e270ba6e85#egg=transformers
triton==2.0.0
typing-extensions==4.5.0
urllib3==1.26.15

### Who can help?

@ArthurZucker

### Information

- [ ] The official example scripts
- [X] My own modified scripts

### Tasks

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

### Reproduction

Running the following...

```
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("THUDM/glm-10b-chinese", trust_remote_code=True)
```

Gave the error:

```
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/jovyan/transformers/src/transformers/models/auto/tokenization_auto.py", line 692, in from_pretrained
    return tokenizer_class.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
  File "/home/jovyan/transformers/src/transformers/tokenization_utils_base.py", line 1812, in from_pretrained
    return cls._from_pretrained(
  File "/home/jovyan/transformers/src/transformers/tokenization_utils_base.py", line 1878, in _from_pretrained
    init_kwargs["auto_map"] = add_model_info_to_auto_map(
  File "/home/jovyan/transformers/src/transformers/utils/generic.py", line 563, in add_model_info_to_auto_map
    auto_map[key] = [f"{repo_id}--{v}" if "--" not in v else v for v in value]
  File "/home/jovyan/transformers/src/transformers/utils/generic.py", line 563, in <listcomp>
    auto_map[key] = [f"{repo_id}--{v}" if "--" not in v else v for v in value]
TypeError: argument of type 'NoneType' is not iterable
```

### Expected behavior

Load tokenizer without errors.

## Analysis
- I suspect it has to do with `auto_map` in `tokenizer_config.json` [here](https://huggingface.co/THUDM/glm-10b-chinese/blob/main/tokenizer_config.json)
- The tokenizer loads fine with transformers version 4.27.0

Comments:
cc @sgugger seems like #22814 added 
```python 
        if "auto_map" in init_kwargs and not _is_local:
            # For backward compatibility with odl format.
            if isinstance(init_kwargs["auto_map"], (tuple, list)):
                init_kwargs["auto_map"] = {"AutoTokenizer": init_kwargs["auto_map"]}
            init_kwargs["auto_map"] = add_model_info_to_auto_map(
                init_kwargs["auto_map"], pretrained_model_name_or_path
            )
```
I can take this on but you are more familiar with the changes


Thanks for flagging! The PR linked above should fix this.