etrained(dls, url=url, drop_mult=0.5).to_fp16()

# save fine-tuned model for classification
path = learn.save_lm('tmp/test_lm')

# get text classifier learner from fine-tuned model
learn = text_classifier_from_lm(dls, path=path, metrics=[accuracy]).to_fp16()
`</code></pre>

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<h3 id="Extract-Sentence-Embeddings">Extract Sentence Embeddings<a class=