I would like to load the BERT’s weights (or whatever transformer) into a DPRQuestionEncoder architecture, such that I can use the HuggingFace save_pretrained method and plug the saved model into the RAG architecture to do end-to-end fine-tuning. But I got the following error I am using the last version of Transformers. Answer As already mentioned in the comments, DPRQuestionEncoder does
Tag: nlp
How to detect protected cells in Excel file using Python?
Given that an Excel file contains some cells protected with passwords, I want to detect these protected cells to choose whether to include them in the inputs or skip them. I have tried pandas and openpyxl However, the protected cells are read normally like other unprotected cells and could be easily changed. So the question is, how could I detect
Problem to covert data from CoNLL format to spacy format
How can I covert data from CoNLL format to spacy format? I’ve executed current code following similar Q&A on stackoverflow: How to convert from CoNLL format to spacy format. CoNLL spacyformat However, I cannot fix the error. Code Error Message I’ve read the document, spacy convert, but have no idea how to fix the error. Environment Python 3.9.1 spaCy version
Python, NLP: How to find all trigrams from text files with adjectives as the middle term
I think the question is self-explanatory but here goes the detailed meaning of the question. I want to extract all trigrams from text files using the nltk library having adjectives as the middle term. Example Text – A red ball was with the good boy. Example of output – and so on Answer This code should do it:
How to parse a lisp-readable file of property lists in Python
I am Trying to parse a verbs english lexicon in order to built a NLP application using Python, so I have to merge it with my NLTK scripts, the lexicon is a lisp-readable file of property lists, but I need it in a easier formart like a Json file or a pandas dataframe. An example from that Lexicon database is:
Applying abbreviation to the column of a dataframe based on another column of the same dataframe
I have two columns in the dataframe, one of which is a class and another is a description. In the description I have some abbreviations. I want to expand these abbreviations based on the class value. I have a dictionary with class as key and in the value I have another dictionary with abbreviations and its full form. Since these
How to save Farsi text in csv file using python?
I was trying to save my dataset in a CSV file with the following script: but the result is confusing, write some unknown chars to CSV file instead of Farsi chars: Can anyone help me? I want to write all these files in a CSV: example of what I have in one of them and want to write: but result:
Get for each word the number of the sentences in which appears in a given text [closed]
Closed. This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 1 year ago. Improve this question I’m using Spacy and I am looking for a program that counts the frequencies of each word in a text, and output each word with
Create a NER dictionary from a given text
I have the following variable data[1][‘entities’][0] = (48, 54, ‘Category 1’) stands for (start_offset, end_offset, entity). I want to read each word of data[0] and tag it according to data[1] entities. I am expecting to have as final output, Here, ‘O’ stands for ‘OutOfEntity’, ‘S’ stands for ‘Start’, ‘B’ stands for ‘Between’, and ‘E’ stands for ‘End’ and are unique
Given a word can we get all possible lemmas for it using Spacy?
The input word is standalone and not part of a sentence but I would like to get all of its possible lemmas as if the input word were in different sentences with all possible POS tags. I would also like to get the lookup version of the word’s lemma. Why am I doing this? I have extracted lemmas from all