https://github.com/bramvanroy/bert-for-inference
A small repo showing how to easily use BERT (or other transformers) for inference
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.0%) to scientific vocabulary
Repository
A small repo showing how to easily use BERT (or other transformers) for inference
Basic Info
Statistics
- Stars: 99
- Watchers: 3
- Forks: 21
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
Contents
Introduction to inference with BERT
introduction-to-bert.ipynb
Gives an introduction on how to use BERT for inference. Ideal if you want to use BERT for feature extraction.
Predicting stuff with masks
mask-probability.ipynb
Under construction. Code works but needs comments and more explanation.
Try notebooks online with binder
Local installation
- Clone from GitHub
pipenv installinside the cloned directory (where the Pipfile is)- Install the correct torch version for your system. You don't need torchvision. When using pipenv, you'll first have to activate shell and then install torch.
bash
pipenv shell
python -m pip install torch===1.3.1 -f https://download.pytorch.org/whl/torch_stable.html
To run the notebook, simply launch your jupyter notebook, e.g.
bash
pipenv run jupyter notebook
Owner
- Name: Bram Vanroy
- Login: BramVanroy
- Kind: user
- Location: Belgium
- Company: @CCL-KULeuven @instituutnederlandsetaal
- Website: https://bramvanroy.github.io/
- Repositories: 29
- Profile: https://github.com/BramVanroy
👋 My name is Bram and I work on natural language processing and machine translation (evaluation) but I also spend a lot of time in this open-source world 🌍
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 1
- Total pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: 10 minutes
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 2.0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- monk1337 (1)
Pull Request Authors
- GillesJ (1)