Comments (5)
That all should work. However, I am unaware of this google colab notebook. If you wouldn't mind pasting it here, I can take a look.
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Google Colab is just like a Jupyter Notebook, with free GPU resources, that gets saved to Google Drive. I'm sharing a link to the Colab notebook here:
https://drive.google.com/open?id=1BncuWsyEXlPUPafqAUPwK2ausg7rvA4l
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Looks like the wrong summarizer is installed:
Name: summarizer
Version: 0.0.7
Summary: A text summarizer
Home-page: https://github.com/michigan-com/summarizer
Author: Eric Bower
Author-email: [email protected]
License: The MIT License (MIT)
Location: /usr/local/lib/python3.6/dist-packages
Requires: nltk
Required-by:
this requires pip install bert-extractive-summarizer
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Thanks for pointing that out! It works now :)
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@soumyatanwar could you please paste the sample code that worked for you here ?
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Related Issues (20)
- unable to build on Mac m1 - Big Sur HOT 1
- ValueError: n_samples=4 should be >= n_clusters=40 HOT 1
- how to save model as pkl.file for deploying
- "from summarizer import Summaizer" HOT 1
- training custom model HOT 1
- can you please provide english.json file ,i was having issue that trainer folder is not there
- AWS Lambda + Container issue with model loading as /home is read only HOT 1
- Error when running xlnet for individual paragraphs on linux using gpu
- Reproducibility bug on run_embeddings method
- Don't load the SBERT model twice
- Which kind of model should I choose?
- How to use cached sentence embedding vector as the input instead of text?
- How to support Japaneses
- tensor size mismatch for specific input text
- TypeError: 'Summarizer' object is not callable
- Run Summarizer model on array of strings HOT 2
- Trying to mimic the API's result
- [News API] Summarization returns empty string HOT 2
- cannot import name summarizer HOT 1
- Need a way to force load on CPU when an unsupported GPU throws a pytorch error.
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