Use the [PreTrainedModel.from_pretrained] and [PreTrainedModel.save_pretrained] workflow:

Download your files ahead of time with [PreTrainedModel.from_pretrained]:

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("bigscience/T0_3B")
model = AutoModelForSeq2SeqLM.from_pretrained("bigscience/T0_3B")

Save your files to a specified directory with [PreTrainedModel.save_pretrained]:

tokenizer.save_pretrained("./your/path/bigscience_t0")
model.save_pretrained("./your/path/bigscience_t0")

Now when you're offline, reload your files with [PreTrainedModel.from_pretrained] from the specified directory:

tokenizer = AutoTokenizer.from_pretrained("./your/path/bigscience_t0")
model = AutoModel.from_pretrained("./your/path/bigscience_t0")

Programmatically download files with the huggingface_hub library:

Install the huggingface_hub library in your virtual environment:

python -m pip install huggingface_hub

Use the hf_hub_download function to download a file to a specific path.