"AutoTokenizer.from_pretrained" does not work when loading a pretrained Albert model
Author: iamfaith
Pull request: no
Labels: name: wontfix

## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
     Don't forget to fill out the missing fields in that output! -->
     
- `transformers` version:
- Platform: 5.4.0-53-generic #59~18.04.1-Ubuntu SMP Wed Oct 21 12:14:56 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
- Python version: 3.7.9
- PyTorch version (GPU?): 1.7.0
- Tensorflow version (GPU?): N/A
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No

### Who can help
<!-- Your issue will be replied to more quickly if you can figure out the right person to tag with @
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 albert, bert, GPT2, XLM: @LysandreJik 
 tokenizers: @mfuntowicz
 Trainer: @sgugger
 Speed and Memory Benchmarks: @patrickvonplaten
 Model Cards: @julien-c
 TextGeneration: @TevenLeScao 
 examples/distillation: @VictorSanh
 nlp datasets: [different repo](https://github.com/huggingface/nlp)
 rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)
 Text Generation: @patrickvonplaten @TevenLeScao
 Blenderbot: @patrickvonplaten
 Bart: @patrickvonplaten
 Marian: @patrickvonplaten
 Pegasus: @patrickvonplaten
 mBART: @patrickvonplaten
 T5: @patrickvonplaten
 Longformer/Reformer: @patrickvonplaten
 TransfoXL/XLNet: @TevenLeScao
 RAG: @patrickvonplaten, @lhoestq
 FSMT: @stas00
 examples/seq2seq: @patil-suraj
 examples/bert-loses-patience: @JetRunner
 tensorflow: @jplu
 examples/token-classification: @stefan-it
 documentation: @sgugger
 -->

## Information

Model I am using (Bert, XLNet ...):

The problem arises when using:
* [x] the official example scripts: (give details below)
* [ ] my own modified scripts: (give details below)

The tasks I am working on is:
* [ ] an official GLUE/SQUaD task: (give the name)
* [ ] my own task or dataset: (give details below)

## To reproduce

Steps to reproduce the behavior:

1. Install PyTorch from the official website as well as the transformers via pip.
2. Using the following pre-trained model:
```
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("ckiplab/albert-tiny-chinese")

model = AutoModelForMaskedLM.from_pretrained("ckiplab/albert-tiny-chinese")
```
3. Error:
```
Downloading: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 683/683 [00:00<00:00, 1.32MB/s]
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 112/112 [00:00<00:00, 215kB/s]
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 174/174 [00:00<00:00, 334kB/s]
Traceback (most recent call last):
  File "/home/faith/torch_tutorials/torch_chatbot.py", line 30, in <module>
    tokenizer = AutoTokenizer.from_pretrained("ckiplab/albert-tiny-chinese")
  File "/home/faith/miniconda3/envs/torch/lib/python3.7/site-packages/transformers/tokenization_auto.py", line 341, in from_pretrained
    return tokenizer_class_py.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
  File "/home/faith/miniconda3/envs/torch/lib/python3.7/site-packages/transformers/tokenization_utils_base.py", line 1653, in from_pretrained
    resolved_vocab_files, pretrained_model_name_or_path, init_configuration, *init_inputs, **kwargs
  File "/home/faith/miniconda3/envs/torch/lib/python3.7/site-packages/transformers/tokenization_utils_base.py", line 1725, in _from_pretrained
    tokenizer = cls(*init_inputs, **init_kwargs)
  File "/home/faith/miniconda3/envs/torch/lib/python3.7/site-packages/transformers/tokenization_albert.py", line 149, in __init__
    self.sp_model.Load(vocab_file)
  File "/home/faith/miniconda3/envs/torch/lib/python3.7/site-packages/sentencepiece.py", line 367, in Load
    return self.LoadFromFile(model_file)
  File "/home/faith/miniconda3/envs/torch/lib/python3.7/site-packages/sentencepiece.py", line 177, in LoadFromFile
    return _sentencepiece.SentencePieceProcessor_LoadFromFile(self, arg)
TypeError: not a string
```

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## Expected behavior

<!-- A clear and concise description of what you would expect to happen. -->
Expect to download this model correctly with error prompting.


Comments:
Can you share your version of `transformers`, `tokenizers`?

I can reproduce this in a Colab notebook when doing `pip install transformers`. 
- Transformers version 3.5.1
- Tokenizers version 0.9.3

Might be solved with v4? 

I am having the same issue with AlbertTokenizer.from_pretrained

This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.

If you think this still needs to be addressed please comment on this thread.

i have the same question!