How to find the  corresponding download models from Amazon?
## ❓ Questions & Help

As we know, the TRANSFORMER could easy auto-download models by the pretrain( ) function.
And the pre-trained BERT/RoBerta model are stored at the path of 
./cach/.pytorch/.transformer/....

But,  all the name of the download models are like this:

d9fc1956a01fe24af529f239031a439661e7634e6e931eaad2393db3ae1eff03.70bec105b4158ed9a1747fea67a43f5dee97855c64d62b6ec3742f4cfdb5feda.json

It's not readable and hard to distinguish which model is I wanted. 

In another word,  if I want to find the pretrained  model of  'uncased_L-12_H-768_A-12', I can't finde which one is ?

Thanks for your answering. 


Hi, they are named as such because that's a clean way to make sure the model on the S3 is the same as the model in the cache. The name is created from the `etag` of the file hosted on the S3.

If you want to save it with a given name, you can save it as such:

```py
from transformers import BertModel

model = BertModel.from_pretrained("bert-base-cased")
model.save_pretrained("cased_L-12_H-768_A-12")
```<|||||>@LysandreJik, following up the question above, and your answer, I ran this command first:

```
from transformers import RobertaModel
model = RobertaModel.from_pretrained("roberta-large")
model.save_pretrained("./roberta-large-355M")
```
I guess, we expect config.json, vocab, and all the other necessary files to be saved in `roberta-large-355M` directory.

Then I ran:

```
python ./examples/run_glue.py   --model_type roberta   --model_name_or_path ./roberta-large-355M --task_name MRPC --do_train  --do_eval --do_lower_case --data_dir $GLUE_DIR/$TASK_NAME --max_seq_length 128 --per_gpu_train_batch_size 32 --learning_rate 2e-5 --num_train_epochs 2.0 --output_dir ./results/mrpc/
```

and I am getting:

```
OSError: Model name './roberta-large-355M' was not found in tokenizers model name list (roberta-base, roberta-large, roberta-large-mnli, distilroberta-base, roberta-base-openai-detector, roberta-large-openai-detector). We assumed './roberta-large-355M' was a path or url to a directory containing vocabulary files named ['vocab.json', 'merges.txt'] but couldn't find such vocabulary files at this path or url
```
I checked the `roberta-large-355M` and there are only: `config.json`  `pytorch_model.bin`, but files named ['vocab.json', 'merges.txt']  are missing.

same issue with the XLNET:
```
../workspace/transformers/xlnet_base# ls
config.json  pytorch_model.bin
```
What am I missing here? Why are all the files not downloaded properly?

Thanks.

<|||||>You also have to save the tokenizer into the same directory:
```python
tokenizer.save_pretrained("./roberta-large-355M")
```

Let me know if this solves your issue.<|||||>This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
<|||||>OSError: Model name 'roberta-base' was not found in tokenizers model name list (roberta-base, roberta-large, roberta-large-mnli, distilroberta-base, roberta-base-openai-detector, roberta-large-openai-detector). We assumed 'roberta-base' was a path, a model identifier, or url to a directory containing vocabulary files named ['vocab.json', 'merges.txt'] but couldn't find such vocabulary files at this path or url.
I got the error above even after saving the tokenizer, config, and model in the same directory<|||||>the problem for me is , when i load the model turning wifi off or switch off internet connection it fail to run but when i turn internet connection it run again. how can i run it off line. 
i also set enviornment variable like this .
import os
os.environ['HF_DATASETS_OFFLINE']='1'
os.environ['TRANSFORMERS_OFFLINE']='1'
generator = pipeline('text-generation', model='EleutherAI/gpt-neo-1.3B')
generator(text, do_sample=True, min_length=5)

result
 "Connection error, and we cannot find the requested files in the cached path."
ValueError: Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet connection is on.
<|||||>import os
from transformers import pipeline
#HF_DATASETS_OFFLINE = 1
#TRANSFORMERS_OFFLINE = 1
#os.environ[HF_DATASETS_OFFLINE = 1,TRANSFORMERS_OFFLINE = 1]
os.environ["HF_DATASETS_OFFLINE"] = "1"
os.environ["TRANSFORMERS_OFFLINE"] = "1"
cache_dir='/Users/hossain/Desktop/gpt2/gpt-neo-1.3/model/'
generator = pipeline('text-generation', model='EleutherAI/gpt-neo-1.3B')

text = 'i am fine. what about you?'
generator(text, do_sample=True, min_length=5)
result: through an error
"Connection error, and we cannot find the requested files in the cached path."
ValueError: Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet connection is on.<|||||>i have dig down into the sentence_transformers lib to see which folder contain the file after downloaded. And came up with this script to see where sentence_transformers keep its files.

```python
import os

torch_home = os.path.expanduser(
    os.getenv("TORCH_HOME",
              os.path.join(os.getenv("XDG_CACHE_HOME",
                                     "~/.cache"), 'torch')))

print(torch_home)

```

i hope it helps<|||||>> i have dig down into the sentence_transformers lib to see which folder contain the file after downloaded. And came up with this script to see where sentence_transformers keep its files.
> 
> ```python
> import os
> 
> torch_home = os.path.expanduser(
>     os.getenv("TORCH_HOME",
>               os.path.join(os.getenv("XDG_CACHE_HOME",
>                                      "~/.cache"), 'torch')))
> 
> print(torch_home)
> ```
> 
> i hope it helps

thanks. the code works on windows too