Hi,
I am new to Hugging Face and would like to try out some models. I had no problems running the examples mentioned in the course. For example, with:
from transformers import pipeline
classifier = pipeline("sentiment-analysis")
res=classifier("I've been waiting for a HuggingFace course my whole life.")
Everything went fine. The model was downloaded to the cache, and the classification was done.
Now, I would like to try out a summarization task:
summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
return summary[0]['summary_text']
Running this script always results in an error:
We couldn’t connect to ‘{HUGGINGFACE_CO_RESOLVE_ENDPOINT}’ to load this model, couldn’t find it in the cached "
OSError: We couldn’t connect to ‘https://huggingface.co’ to load this model, couldn’t find it in the cached files and it looks like distilbert/distilbert-base-uncased-finetuned-sst-2-english is not the path to a directory containing a {configuration_file} file.
Checkout your internet connection or see how to run the library in offline mode at ‘Installation’
I have an internet connection. Deleting the cache and starting the first example (classifier) again downloads the model. Even omitting the model for the summarization task leads to the above-mentioned error.
Could someone please tell me where I am going wrong?
Thanks,
Wanda