pipeline does not load a (local) model

Hello the great huggingface team!

I am using a computer behind a firewall so I cannot download files from python. I am simply trying to load a sentiment-analysis pipeline so I downloaded all the files available here https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/tree/main in a local folder (I am using tensorflow)

• config.json
• tf_model.h5
• tokenizer_config.json
• vocab.txt

However, when I tried to use this path in a pipeline, I get a strange error:

from transformers import pipeline

classifier = pipeline(task= 'sentiment-analysis', 
                      model= "C:\\Users\\me\\mymodel",
                      tokenizer = "C:\\Users\\me\\mymodel")

ValueError: unable to parse C:\Users\me\mymodel\modelcard.json as a URL or as a local path

Is this a bug? Thanks!

[NielsRogge]

It depends on whether you want to use the pipeline, or the model right away. Both should work with the files stored locally.

[NielsRogge]

Yes you can download them directly from the web. On the model page, there’s a button “Use in Transformers” on the right. This shows how you either load the weights from the hub into your RAM using .from_pretrained(), or by git cloning the files using git-lfs.