I am exploring potential opportunities of using HuggingFace “Transformers”.
I have been trying check some basic examples from the introductory course, but I came across a problem that I have not been able to solve.  I have successfully installed transformers on my laptop using pip, and I have tried to run your “sentiment-analysis” example using Jupyter Notebook, Spider, or Python Command Line.
I am running Python 3.8.5 on Windows 10 behind a company firewall:


transformers version: 4.12.3
Platform: Windows-10-10.0.19041-SP0
Python version: 3.8.5
PyTorch version (GPU?): not installed (NA)
Tensorflow version (GPU?): 2.7.0 (False)
Flax version (CPU?/GPU?/TPU?): not installed (NA)
Jax version: not installed
JaxLib version: not installed
Using GPU in script?: NO
Using distributed or parallel set-up in script?: NO

When I do:
from transformers import pipeline
I get no errors, but when I try:
classifier = pipeline(“sentiment-analysis”)

I get:

No model was supplied, defaulted to distilbert-base-uncased-finetuned-sst-2-english (distilbert-base-uncased-finetuned-sst-2-english · Hugging Face)
HTTPSConnectionPool(host=‘huggingface.co’, port=443): Max retries exceeded with url: /distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json (Caused by SSLError(SSLCertVerificationError(1, ‘[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1123)’)))
followed by a long detailed traceback for SSLCertVerificationError
Any advice on how to proceed?
Thanks a lot
Miroslaw Bartkowiak