cannt use huggingface datasets and model in online way

[bencaocs]

If i cannt use huggingface dataset and model online, Does i have other way to use this code? I try to down dataset(Tevatron/msmarco-passage-corpus) to disk, and use process_marco.py to process, its OK.

But when i Run run.py, it give me a feback, Traceback (most recent call last): File "/home/bio-3090ti/anaconda3/envs/DSI-transform/lib/python3.8/site-packages/transformers/tokenization_utils_base.py", line 1724, in from_pretrained resolved_vocab_files[file_id] = cached_path( File "/home/bio-3090ti/anaconda3/envs/DSI-transform/lib/python3.8/site-packages/transformers/file_utils.py", line 1921, in cached_path output_path = get_from_cache( File "/home/bio-3090ti/anaconda3/envs/DSI-transform/lib/python3.8/site-packages/transformers/file_utils.py", line 2177, in get_from_cache raise ValueError( 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.

Thanks.

[ArvinZhuang]

Hi, can you also try download huggingface t5-base or large models here https://huggingface.co/t5-base to disk and load the model there?

[bencaocs]

Hi, can you also try download huggingface t5-base or large models here https://huggingface.co/t5-base to disk and load the model there?

Thanks for u fast replay. i think maybe its a good way. But i am not sure File structure. Now, my File structure is

DSI-QG
- -__pycache__
-  cache
-     dowloads
-     Tevatron__msmarco-passage-corpus
-         default
- CE
- data
-   msmarco_data
-     100k
-     X.tsv
- Other file .py .sh et.al**

If the directory is correct, where should I store t5-base after I download it? Is that the same cache

Thank your very much.

[ArvinZhuang]

simply set --model_name to the dir where you save the downloaded model in the running command