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To test, first download the word2vec pretrained model and unzip |
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https://drive.google.com/file/d/0B7XkCwpI5KDYNlNUTTlSS21pQmM/edit?usp=sharing |
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Put it under certain path |
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Then run eval_py.ipynb in the repo. |
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Remember to replace the path to test data and word2vec pretrained model. |
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Find access token in the token.txt |
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If you can't import model from huggingface directly, you can try the train+test notebook. |
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First, download the whole directory and put the config.json and safetensor under *./exp/fox_nbc/checkpoints/best/*. |
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Then, run every cell except the trainning part. Make sure the evaluation cell can load the checkpoint from the directory. |
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An example of project directory looks like this: |
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https://cdn-uploads.huggingface.co/production/uploads/673ab29d3c897b60a54ea67f/GbN3U6bSUhya5FeQn-TjO.png |
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