![Hugging Face on Twitter: "🛠The tokenizers now have a simple and backward compatible API with simple access to the most common use-cases: - no truncation and no padding - truncating to the Hugging Face on Twitter: "🛠The tokenizers now have a simple and backward compatible API with simple access to the most common use-cases: - no truncation and no padding - truncating to the](https://pbs.twimg.com/media/EbxIIDAUwAM5zv6.jpg)
Hugging Face on Twitter: "🛠The tokenizers now have a simple and backward compatible API with simple access to the most common use-cases: - no truncation and no padding - truncating to the
![Problem with BertTokenizer using additional_special_tokens · Issue #4229 · huggingface/transformers · GitHub Problem with BertTokenizer using additional_special_tokens · Issue #4229 · huggingface/transformers · GitHub](https://user-images.githubusercontent.com/12713359/81397632-1b293600-90fe-11ea-8d91-a7af43aeabae.png)
Problem with BertTokenizer using additional_special_tokens · Issue #4229 · huggingface/transformers · GitHub
![m__k on Twitter: "日本語BERT使うとき、AutoTokenizerではなくBertTokenizerを使うと、N-gramのように分割されてしまう様子。どっかのバージョンアップで変わったのかな。とりあえずAutoTokenizer使えば問題なさそうだけど、なんでN-gram的に分割されちゃうんだろう ... m__k on Twitter: "日本語BERT使うとき、AutoTokenizerではなくBertTokenizerを使うと、N-gramのように分割されてしまう様子。どっかのバージョンアップで変わったのかな。とりあえずAutoTokenizer使えば問題なさそうだけど、なんでN-gram的に分割されちゃうんだろう ...](https://pbs.twimg.com/media/Ey0yr76VoAAKF39.jpg:large)
m__k on Twitter: "日本語BERT使うとき、AutoTokenizerではなくBertTokenizerを使うと、N-gramのように分割されてしまう様子。どっかのバージョンアップで変わったのかな。とりあえずAutoTokenizer使えば問題なさそうだけど、なんでN-gram的に分割されちゃうんだろう ...
![python - No module named 'transformers.models' while trying to import BertTokenizer - Stack Overflow python - No module named 'transformers.models' while trying to import BertTokenizer - Stack Overflow](https://i.stack.imgur.com/kfrff.png)
python - No module named 'transformers.models' while trying to import BertTokenizer - Stack Overflow
![ValueError when getting pretrained model from transformers module in Kaggle Notebook | Data Science and Machine Learning ValueError when getting pretrained model from transformers module in Kaggle Notebook | Data Science and Machine Learning](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4115124%2F58ac6f35f346410da3b918e55f882d3b%2Ferror.png?generation=1608915328220824&alt=media)
ValueError when getting pretrained model from transformers module in Kaggle Notebook | Data Science and Machine Learning
![51.2 Single Sentence with BERT Tokenizer_EN - Deep Learning Bible - 3. Natural Language Processing - English 51.2 Single Sentence with BERT Tokenizer_EN - Deep Learning Bible - 3. Natural Language Processing - English](https://wikidocs.net/images/page/159246/5_BERT_model_simplified.drawio.png)
51.2 Single Sentence with BERT Tokenizer_EN - Deep Learning Bible - 3. Natural Language Processing - English
![Problem with BertTokenizer using additional_special_tokens · Issue #4229 · huggingface/transformers · GitHub Problem with BertTokenizer using additional_special_tokens · Issue #4229 · huggingface/transformers · GitHub](https://user-images.githubusercontent.com/12713359/81397653-241a0780-90fe-11ea-9ba6-1d86c2435dfd.png)
Problem with BertTokenizer using additional_special_tokens · Issue #4229 · huggingface/transformers · GitHub
![A Visual Guide to Using BERT for the First Time – Jay Alammar – Visualizing machine learning one concept at a time. A Visual Guide to Using BERT for the First Time – Jay Alammar – Visualizing machine learning one concept at a time.](http://jalammar.github.io/images/distilBERT/bert-distilbert-tokenization-1.png)