Update README.md
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@ -67,7 +67,7 @@ Sahrawat, Dhruva, Debanjan Mahata, Haimin Zhang, Mayank Kulkarni, Agniv Sharma,
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* Only works for English documents.
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* For a custom model, please consult the [training notebook]() for more information.
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### ❓ How to use
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### ❓ How To Use
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```python
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from transformers import (
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TokenClassificationPipeline,
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@ -247,7 +247,7 @@ def extract_keyphrases(example, predictions, tokenizer, index=0):
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```
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## 📝 Evaluation results
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## 📝 Evaluation Results
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Traditional evaluation methods are the precision, recall and F1-score @k,m where k is the number that stands for the first k predicted keyphrases and m for the average amount of predicted keyphrases.
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The model achieves the following results on the Inspec test set:
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