Windows: Can't find vocabulary file for MarianTokenizer
# 🐛 Bug MarianTokenizer.from_pretrained() fails in Python 3.6.4 in Windows 10

## Information
Occurs with using the example here: [https://huggingface.co/transformers/model_doc/marian.html?highlight=marianmtmodel#transformers.MarianMTModel](huggingface.co/transformers/model_doc/marian.html?highlight=marianmtmodel#transformers.MarianMTModel)



Model I am using (Bert, XLNet ...): MarianMTModel

Language I am using the model on (English, Chinese ...): English

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)
* [X ] my own task or dataset: (give details below)

## To reproduce
Paste code from example and run:
```Python
from transformers import MarianTokenizer, MarianMTModel
from typing import List
src = 'fr'  # source language
trg = 'en'  # target language
sample_text = "où est l'arrêt de bus ?"
mname = f'Helsinki-NLP/opus-mt-{src}-{trg}'

model = MarianMTModel.from_pretrained(mname)
tok = MarianTokenizer.from_pretrained(mname)
batch = tok.prepare_translation_batch(src_texts=[sample_text])  # don't need tgt_text for inference
gen = model.generate(**batch)  # for forward pass: model(**batch)
words: List[str] = tok.batch_decode(gen, skip_special_tokens=True)  # returns "Where is the the bus stop ?"
print(words)
```
Steps to reproduce the behavior:

1. Run the example
2. Program terminates on `tok = MarianTokenizer.from_pretrained(mname)`

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```Python
stdbuf was not found; communication with perl may hang due to stdio buffering.
Traceback (most recent call last):
  File "C:\Program Files\Python\lib\site-packages\transformers\tokenization_utils.py", line 1055, in _from_pretrained
    tokenizer = cls(*init_inputs, **init_kwargs)
  File "C:\Program Files\Python\lib\site-packages\transformers\tokenization_marian.py", line 89, in __init__
    self._setup_normalizer()
  File "C:\Program Files\Python\lib\site-packages\transformers\tokenization_marian.py", line 95, in _setup_normalizer
    self.punc_normalizer = MosesPunctuationNormalizer(self.source_lang)
  File "C:\Program Files\Python\lib\site-packages\mosestokenizer\punctnormalizer.py", line 47, in __init__
    super().__init__(argv)
  File "C:\Program Files\Python\lib\site-packages\toolwrapper.py", line 64, in __init__
    self.start()
  File "C:\Program Files\Python\lib\site-packages\toolwrapper.py", line 108, in start
    env=env,
  File "C:\Program Files\Python\lib\subprocess.py", line 709, in __init__
    restore_signals, start_new_session)
  File "C:\Program Files\Python\lib\subprocess.py", line 997, in _execute_child
    startupinfo)
FileNotFoundError: [WinError 2] The system cannot find the file specified

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:/Development/Research/COVID-19-Misinfo2/src/translate_test_2.py", line 9, in <module>
    tok = MarianTokenizer.from_pretrained(mname)
  File "C:\Program Files\Python\lib\site-packages\transformers\tokenization_utils.py", line 902, in from_pretrained
    return cls._from_pretrained(*inputs, **kwargs)
  File "C:\Program Files\Python\lib\site-packages\transformers\tokenization_utils.py", line 1058, in _from_pretrained
    "Unable to load vocabulary from file. "
OSError: Unable to load vocabulary from file. Please check that the provided vocabulary is accessible and not corrupted.
```

## Expected behavior
prints ["Where is the the bus stop ?"]
<!-- A clear and concise description of what you would expect to happen. -->

## 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: 2.9.1
- Platform: Windows-10-10.0.18362-SP0
- Python version: 3.6.4
- PyTorch version (GPU?): 1.5.0+cu101 (True)
- Tensorflow version (GPU?): 2.1.0 (True)
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: no

I cannot reproduce this. This works for me (same environment except Python 3.8 which should not make a difference). Can you try again but force_overwrite potentially corrupt files?

```python
tok = MarianTokenizer.from_pretrained(mname, force_download=True)
```<|||||>Hi, 

I rebased the transformers project just before running this and updated
with "pip install --upgrade ." in the root transformers directory. 

Here is the code as run:

from transformers import MarianTokenizer, MarianMTModel
from typing import List
src = 'fr'  # source language
trg = 'en'  # target language
sample_text = "où est l'arrêt de bus ?"
mname = f'Helsinki-NLP/opus-mt-{src}-{trg}'

model = MarianMTModel.from_pretrained(mname, force_download=True)
tok = MarianTokenizer.from_pretrained(mname, force_download=True)

# batch = tok.prepare_translation_batch(src_texts=[sample_text])  #
don't need tgt_text for inference
# gen = model.generate(**batch)  # for forward pass: model(**batch)
# words: List[str] = tok.batch_decode(gen, skip_special_tokens=True)  #
returns "Where is the the bus stop ?"

Here is the terminal output:

2020-05-22 05:45:15.204824: I
tensorflow/stream_executor/platform/default/dso_loader.cc:44]
Successfully opened dynamic library cudart64_101.dll 
Downloading: 100%|██████████| 1.13k/1.13k [00:00<00:00, 568kB/s] 
Downloading: 100%|██████████| 301M/301M [00:32<00:00, 9.34MB/s] 
Downloading: 100%|██████████| 802k/802k [00:00<00:00, 5.85MB/s] 
Downloading: 100%|██████████| 778k/778k [00:00<00:00, 5.71MB/s] 
Downloading: 100%|██████████| 1.34M/1.34M [00:00<00:00, 6.69MB/s] 
Downloading: 100%|██████████| 42.0/42.0 [00:00<00:00, 13.8kB/s] 
stdbuf was not found; communication with perl may hang due to stdio
buffering. 
Traceback (most recent call last): 
  File "C:\Program
Files\Python\lib\site-packages\transformers\tokenization_utils.py", line
1055, in _from_pretrained 
    tokenizer = cls(*init_inputs, **init_kwargs) 
  File "C:\Program
Files\Python\lib\site-packages\transformers\tokenization_marian.py",
line 89, in __init__ 
    self._setup_normalizer() 
  File "C:\Program
Files\Python\lib\site-packages\transformers\tokenization_marian.py",
line 95, in _setup_normalizer 
    self.punc_normalizer = MosesPunctuationNormalizer(self.source_lang) 
  File "C:\Program
Files\Python\lib\site-packages\mosestokenizer\punctnormalizer.py", line
47, in __init__ 
    super().__init__(argv) 
  File "C:\Program Files\Python\lib\site-packages\toolwrapper.py", line
64, in __init__ 
    self.start() 
  File "C:\Program Files\Python\lib\site-packages\toolwrapper.py", line
108, in start 
    env=env, 
  File "C:\Program Files\Python\lib\subprocess.py", line 709, in
__init__ 
    restore_signals, start_new_session) 
  File "C:\Program Files\Python\lib\subprocess.py", line 997, in
_execute_child 
    startupinfo) 
FileNotFoundError: [WinError 2] The system cannot find the file
specified 

During handling of the above exception, another exception occurred: 

Traceback (most recent call last): 
  File
"C:/Development/Research/COVID-19-Misinfo2/src/translate_test_2.py",
line 9, in <module> 
    tok = MarianTokenizer.from_pretrained(mname, force_download=True) 
  File "C:\Program
Files\Python\lib\site-packages\transformers\tokenization_utils.py", line
902, in from_pretrained 
    return cls._from_pretrained(*inputs, **kwargs) 
  File "C:\Program
Files\Python\lib\site-packages\transformers\tokenization_utils.py", line
1058, in _from_pretrained 
    "Unable to load vocabulary from file. " 
OSError: Unable to load vocabulary from file. Please check that the
provided vocabulary is accessible and not corrupted. 

Process finished with exit code 1 

I also tried this with 'Helsinki-NLP/opus-mt-ROMANCE-en' and had the
same results. I also stepped through the code in the debugger and
manually downloaded the files using my browser and pointed the
*.from_retrained() methods to that directory. Here is the relevant code:

model_name = 'Helsinki-NLP/opus-mt-ROMANCE-en'
# see tokenizer.supported_language_codes for choices
model =
MarianMTModel.from_pretrained("./models/opus-mt-ROMANCE-en/model")
#model.save_pretrained("./models/opus-mt-ROMANCE-en/model")
tokenizer =
MarianTokenizer.from_pretrained("./models/opus-mt-ROMANCE-en/model")
#tokenizer.save_pretrained("./models/opus-mt-ROMANCE-en/tokenizer")

And here is the directory list. I've also attached all these files
except the pytorch.model.bin. If there is a problem with these files,
please send me the correct ones and I can try this locally

    Directory:
C:\Development\Research\COVID-19-Misinfo2\src\models\opus-mt-ROMANCE-en\model


Mode                LastWriteTime         Length Name 
----                -------------         ------ ---- 
-a----        5/20/2020   5:52 PM           1163 config.json 
-a----        5/20/2020   5:52 PM      312086495 pytorch_model.bin 
-a----        5/20/2020   6:05 PM         800087 source.spm 
-a----        5/20/2020   6:08 PM            265 tokenizer_config.json 
-a----        5/20/2020   6:07 PM        1460304 vocab.json 

This had the same effect as the remote download

2020-05-22 05:58:34.251856: I
tensorflow/stream_executor/platform/default/dso_loader.cc:44]
Successfully opened dynamic library cudart64_101.dll 
dir = C:\Development\Research\COVID-19-Misinfo2\src 
Traceback (most recent call last): 
  File
"C:/Development/Research/COVID-19-Misinfo2/src/translate_test_1.py",
line 15, in <module> 
    tokenizer =
MarianTokenizer.from_pretrained("./models/opus-mt-ROMANCE-en/model") 
  File "C:\Program
Files\Python\lib\site-packages\transformers\tokenization_utils.py", line
902, in from_pretrained 
    return cls._from_pretrained(*inputs, **kwargs) 
  File "C:\Program
Files\Python\lib\site-packages\transformers\tokenization_utils.py", line
1055, in _from_pretrained 
    tokenizer = cls(*init_inputs, **init_kwargs) 
  File "C:\Program
Files\Python\lib\site-packages\transformers\tokenization_marian.py",
line 84, in __init__ 
    self.spm_target = load_spm(target_spm) 
  File "C:\Program
Files\Python\lib\site-packages\transformers\tokenization_marian.py",
line 236, in load_spm 
    spm.Load(path) 
  File "C:\Program Files\Python\lib\site-packages\sentencepiece.py",
line 118, in Load 
    return _sentencepiece.SentencePieceProcessor_Load(self, filename) 
TypeError: not a string 

Process finished with exit code 1 

I have downloaded and used the GPT-2 model without these problems using
very similar code

tokenizer = GPT2Tokenizer.from_pretrained("gpt2")

Hope this helps,

Phil Feldman

---

On 2020-05-22 05:34, Bram Vanroy wrote:

> I cannot reproduce this. This works for me (same environment except Python 3.8 which should not make a difference). Can you try again but force_overwrite potentially corrupt files?
> 
> tok = MarianTokenizer.from_pretrained(mname, force_download=True)
> 
> --
> You are receiving this because you authored the thread.
> Reply to this email directly, view it on GitHub [1], or unsubscribe [2].
 

Links:
------
[1]
https://github.com/huggingface/transformers/issues/4491#issuecomment-632597198
[2]
https://github.com/notifications/unsubscribe-auth/ABPRJH7JIRH4PIEONBAXAULRSZBJXANCNFSM4NGLYESA<|||||>Hi @pgfeldman, I initally faced the same error but was able to resolve it by downloading the model to a specified location using the below steps
```
cache_dir = "/home/transformers_files/"
cache_dir_models = cache_dir + "default_models/"
cache_dir_tokenizers = cache_dir + "tokenizers/"
model_name = 'Helsinki-NLP/opus-mt-ROMANCE-en'
tokenizer = MarianTokenizer.from_pretrained(model_name, cache_dir=cache_dir_tokenizers)
model = MarianMTModel.from_pretrained(model_name, cache_dir=cache_dir_models)
```<|||||>Hi! I had the same issue after installing the mosestokenizer (as recommended) on Windows with Python 3.6. After I uninstalled it, it seemed to work fine! I think more investigation is needed there.<|||||>@BramVanroy did it work for you on windows? I also can't reproduce.<|||||>> @BramVanroy did it work for you on windows? I also can't reproduce.

I still cannot reproduce this. I tried uninstall/reinstalling mosestokenizer and it works in both cases.

For everyone having problems, can you run the following and post its output here so that we can find similarities? @jpcorb20 @SAswinGiridhar @pgfeldman 

**This requires you to be on the latest master branch (on Windows at least) so install from source!**

```bash
transformers-cli env
```<|||||>I deleted and re-installed transformers and installed from source 

Copy-and-paste the text below in your GitHub issue and FILL OUT the two
last points. 

- `transformers` version: 2.11.0 
- Platform: Windows-10-10.0.18362-SP0 
- Python version: 3.6.4 
- PyTorch version (GPU?): 1.5.0+cu101 (True) 
- Tensorflow version (GPU?): 2.1.0 (True) 
- Using GPU in script?: <fill in> 
- Using distributed or parallel set-up in script?: <fill in> 

I'm also attaching my package list
[deleted by moderator for length]<|||||>Hello, here's mine :

- `transformers` version: 2.11.0
- Platform: Windows-10-10.0.18362-SP0
- Python version: 3.6.7
- PyTorch version (GPU?): 1.5.0+cu101 (True)
- Tensorflow version (GPU?): 2.0.0 (False)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
<|||||>Does
```python
tokenizer = XLMRobertaTokenizer.from_pretrained("xlm-roberta-base")
tokenizer.batch_encode_plus(['stuff'])
```
work?<|||||>Yes! 

Here's the code as run:

from transformers import XLMRobertaTokenizer

tokenizer = XLMRobertaTokenizer.from_pretrained("xlm-roberta-base")
tokenizer.batch_encode_plus(['stuff'])

print("done")

Here's the output

"C:\Program Files\Python\python.exe"
C:/Users/Phil/AppData/Roaming/JetBrains/IntelliJIdea2020.1/scratches/transformers_error_2.py

2020-06-08 17:44:17.768004: I
tensorflow/stream_executor/platform/default/dso_loader.cc:44]
Successfully opened dynamic library cudart64_101.dll 
Downloading: 100%|██████████| 5.07M/5.07M [00:00<00:00, 9.57MB/s] 
done 

Process finished with exit code 0 

Hope this helps, 

Phil

---

On 2020-06-08 17:13, Sam Shleifer wrote:

> Does
> 
> tokenizer = XLMRobertaTokenizer.from_pretrained("xlm-roberta-base")
> tokenizer.batch_encode_plus(['stuff'])
> 
> work? 
> 
> --
> You are receiving this because you were mentioned.
> Reply to this email directly, view it on GitHub [1], or unsubscribe [2].
 

Links:
------
[1]
https://github.com/huggingface/transformers/issues/4491#issuecomment-640889916
[2]
https://github.com/notifications/unsubscribe-auth/ABPRJHZZ3BPH7DFC36FOYJTRVVIAVANCNFSM4NGLYESA<|||||>Working for me too<|||||>Can anyone help with this issue: #5040 ?<|||||>> Can anyone help with this issue: #5040 ?

Please don't spam other topics like this in the future. We do our best to help where and when we can. Posting duplicate comments on different topics adds more noise than it is helpful.<|||||>I think this bug may be fixed on master, but I can't verify because I don't have windows. Could 1 person check and post their results? Remember to be up to date with master, your git log should contain `3d495c61e Sam Shleifer: Fix marian tokenizer save pretrained (#5043)`<|||||>Doesn't work on my PC, but I changed the library for the moses tokenizer in _setup_normalizer and it works:

```
def _setup_normalizer(self):
        try:
            from sacremoses import MosesPunctNormalizer
            self.punc_normalizer = MosesPunctNormalizer(lang=self.source_lang).normalize
        except ImportError:
            warnings.warn("Recommended: pip install sacremoses")
            self.punc_normalizer = lambda x: x
```<|||||>Hi Sam, 

I just rebased, verified the gitlog, and installed using "pip install
--upgrade ." I'm attaching the console record of the install. 

I still get the same error(s) 

2020-06-17 05:40:43.980254: I
tensorflow/stream_executor/platform/default/dso_loader.cc:44]
Successfully opened dynamic library cudart64_101.dll 
stdbuf was not found; communication with perl may hang due to stdio
buffering. 
Traceback (most recent call last): 
  File "C:\Program
Files\Python\lib\site-packages\transformers\tokenization_utils_base.py",
line 1161, in _from_pretrained 
    tokenizer = cls(*init_inputs, **init_kwargs) 
  File "C:\Program
Files\Python\lib\site-packages\transformers\tokenization_marian.py",
line 81, in __init__ 
    self._setup_normalizer() 
  File "C:\Program
Files\Python\lib\site-packages\transformers\tokenization_marian.py",
line 87, in _setup_normalizer 
    self.punc_normalizer = MosesPunctuationNormalizer(self.source_lang) 
  File "C:\Program
Files\Python\lib\site-packages\mosestokenizer\punctnormalizer.py", line
47, in __init__ 
    super().__init__(argv) 
  File "C:\Program Files\Python\lib\site-packages\toolwrapper.py", line
64, in __init__ 
    self.start() 
  File "C:\Program Files\Python\lib\site-packages\toolwrapper.py", line
108, in start 
    env=env, 
  File "C:\Program Files\Python\lib\subprocess.py", line 709, in
__init__ 
    restore_signals, start_new_session) 
  File "C:\Program Files\Python\lib\subprocess.py", line 997, in
_execute_child 
    startupinfo) 
FileNotFoundError: [WinError 2] The system cannot find the file
specified 

During handling of the above exception, another exception occurred: 

Traceback (most recent call last): 
  File
"C:/Users/Phil/AppData/Roaming/JetBrains/IntelliJIdea2020.1/scratches/transformers_error.py",
line 9, in <module> 
    tok = MarianTokenizer.from_pretrained(mname) 
  File "C:\Program
Files\Python\lib\site-packages\transformers\tokenization_utils_base.py",
line 1008, in from_pretrained 
    return cls._from_pretrained(*inputs, **kwargs) 
  File "C:\Program
Files\Python\lib\site-packages\transformers\tokenization_utils_base.py",
line 1164, in _from_pretrained 
    "Unable to load vocabulary from file. " 
OSError: Unable to load vocabulary from file. Please check that the
provided vocabulary is accessible and not corrupted. 

Process finished with exit code 1 

Hope this helps 

Phil

---

On 2020-06-16 09:50, Sam Shleifer wrote:

> I think this bug may be fixed on master, but I can't verify because I don't have windows. Could 1 person check and post their results? Remember to be up to date with master, your git log should contain 3d495c61e Sam Shleifer: Fix marian tokenizer save pretrained (#5043) - (HEAD -> master, upstream/master) (2 minutes ago) 
> 
> --
> You are receiving this because you were mentioned.
> Reply to this email directly, view it on GitHub [1], or unsubscribe [2].
 

Links:
------
[1]
https://github.com/huggingface/transformers/issues/4491#issuecomment-644778862
[2]
https://github.com/notifications/unsubscribe-auth/ABPRJH5BKWN3OBT7DOP4PVTRW52CRANCNFSM4NGLYESA<|||||>Just upgraded to version 3.0, and everything is working!