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@@ -10,6 +10,17 @@ poetry install
 
 # Usage
 
+## Training the tokenizer
+We use a byte pair encoding tokenizer. To train the tokenizer, run
+```
+poetry run train-bpe-tokenizer --dataset_path="DATA_PATH" --language=mls_german_opus --split=all --out_path="data/tokenizers/bpe_tokenizer_german_3000.json" --vocab_size=3000
+```
+with the desired values for `DATA_PATH` and `vocab_size`.
+
+You can also use a character level tokenizer, which can be trained with
+```
+poetry run train-char-tokenizer --dataset_path="DATA_PATH" --language=mls_german_opus --split=all --out_path="data/tokenizers/char_tokenizer_german.txt"
+```
 ## Training
 
 Train using the provided train script: