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Update README.md
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koaning authored May 23, 2023
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Expand Up @@ -59,7 +59,7 @@ X_tfm = text_emb_pipeline.fit_transform(sentences)
df = pd.DataFrame({"text": sentences})
df['x'] = X_tfm[:, 0]
df['y'] = X_tfm[:, 1]
df.to_csv("ready.csv")
df.to_csv("ready.csv", index=False)
```

You can now use this `ready.csv` file to apply some bulk labelling.
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