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6 changes: 3 additions & 3 deletions tutorials/nlp/02_NLP_Tokenizers.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -98,7 +98,7 @@
"\n",
"Hugging Face and Megatron tokenizers (which uses Hugging Face underneath) can be automatically instantiated by only `tokenizer_name`, which downloads the corresponding `vocab_file` from the internet. \n",
"\n",
"For SentencePieceTokenizer, WordTokenizer, and CharTokenizers `tokenizer_model` or/and `vocab_file` can be generated offline in advance using [`scripts/tokenizers/process_asr_text_tokenizer.py`](https://github.com/NVIDIA/NeMo/blob/stable/scripts/process_asr_text_tokenizer.py)\n",
"For SentencePieceTokenizer, WordTokenizer, and CharTokenizers `tokenizer_model` or/and `vocab_file` can be generated offline in advance using [`scripts/tokenizers/process_asr_text_tokenizer.py`](https://github.com/NVIDIA/NeMo/blob/stable/scripts/tokenizers/process_asr_text_tokenizer.py)\n",
"\n",
"The tokenizers in NeMo are designed to be used interchangeably, especially when\n",
"used in combination with a BERT-based model.\n",
Expand Down Expand Up @@ -381,7 +381,7 @@
"id": "ykwKmREuPQE-"
},
"source": [
"We use the [`scripts/tokenizers/process_asr_text_tokenizer.py`](https://github.com/NVIDIA/NeMo/blob/stable/scripts/process_asr_text_tokenizer.py) script to create a custom tokenizer model with its own vocabulary from an input file"
"We use the [`scripts/tokenizers/process_asr_text_tokenizer.py`](https://github.com/NVIDIA/NeMo/blob/stable/scripts/tokenizers/process_asr_text_tokenizer.py) script to create a custom tokenizer model with its own vocabulary from an input file"
]
},
{
Expand Down Expand Up @@ -585,4 +585,4 @@
},
"nbformat": 4,
"nbformat_minor": 1
}
}