On occasion, circumstances require us to do the following: from keras.preprocessing.text import Tokenizer tokenizer = Tokenizer(num_words=my_max) Then, invariably, we chant this mantra: …

Jun 7, 2023 · in the Tokenizer documentation from huggingface, the call fuction accepts List [List [str]] and says: text (str, List [str], List [List [str]], optional) — The sequence or batch of sequences to be …

Mar 28, 2018 · A tokenizer breaks a stream of text into tokens, usually by looking for whitespace (tabs, spaces, new lines). A lexer is basically a tokenizer, but it usually attaches extra context to the tokens …

May 8, 2023 · And then it points to the train_new_from_iterator() function in Chapter 7 but I can't seem to find reference to how to use it to extend the tokenizer without re-training it.

from transformers import AutoTokenizer, AutoConfig tokenizer = AutoTokenizer.from_pretrained('distilroberta-base') config = AutoConfig.from_pretrained('distilroberta …

Dec 6, 2020 · I would like to know if the spacy tokenizer could tokenize words only using the "space" rule. For example: sentence= "(c/o Oxford University )" Normally, …

Mar 22, 2025 · 3 I am trying to get the tokenizer using huggingface AutoTokenizer library, but I am unable to fetch, is there any other way to get it? Where I am doing wrong?

tokenizer_from_json doesnt seem to be available in Keras anymore, or rather its not listed in their docs or available in the package in conda @Max you still do it this way?

Jun 11, 2020 · Is there a way to know the mapping from the tokens back to the original words in the tokenizer.decode() function? For example: from transformers.tokenization_roberta import …

Feb 28, 2023 · I'm trying to run a Hugging Face model using the following code in Google Colab: !pip install transformers from transformers import AutoTokenizer tokenizer = …