i have a wav file and i want to split according to the data i have in a list called speech and to export the the splitted wav files in folders according to the label variable but i keep getting the error export() got multiple values for argument ‘format’ Answer The function definition of export is as follows: I think
Tag: nlp
Does converting a seq2seq NLP model to the ONNX format negatively affect its performance?
I was looking at potentially converting an ml NLP model to the ONNX format in order to take advantage of its speed increase (ONNX Runtime). However, I don’t really understand what is fundamentally changed in the new models compared to the old models. Also, I don’t know if there are any drawbacks. Any thoughts on this would be very appreciated.
Identify subject in sentences using spacy in advanced cases
I’m trying to identify the subject in a sentence. I tried to use some of the code here: This returns the results: the det python nsubjpass can aux be auxpass used ROOT to aux find xcomp objects dobj I would think in this case the python would be the subject, in most cases that would be the _dep would be
Finding words within paragraph using Python [closed]
Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 2 years ago. Improve this question Let say I have the following words, Test_wrds = [‘she’, ‘her’,’women’] that I would like to see whether any one
Build a dictionary from .txt files analysis
I have a basic program that can count the number of words in a given text file. I am trying to turn this into a program that can take in several different .txt files, with an arbitrary amount of keywords within those file analyzed, and output a dictionary within a list of the results (or similar object). The output I
Transformers v4.x: Convert slow tokenizer to fast tokenizer
I’m following the transformer’s pretrained model xlm-roberta-large-xnli example and I get the following error I’m using Transformers version ‘4.1.1’ Answer According to Transformers v4.0.0 release, sentencepiece was removed as a required dependency. This means that “The tokenizers that depend on the SentencePiece library will not be available with a standard transformers installation” including the XLMRobertaTokenizer. However, sentencepiece can be installed
Pytorch’s nn.TransformerEncoder “src_key_padding_mask” not functioning as expected
Im working with Pytorch’s nn.TransformerEncoder module. I got input samples with (as normal) the shape (batch-size, seq-len, emb-dim). All samples in one batch have been zero-padded to the size of the biggest sample in this batch. Therefore I want the attention of the all zero values to be ignored. The documentation says, to add an argument src_key_padding_mask to the forward
Model for measuring grammatical text quality [closed]
Closed. This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 2 years ago. Improve this question I generate text via transformer models and I am looking for a way of measuring the grammatical text-quality. Like the text:
Why does Keras.preprocessing.sequence pad_sequences process characters instead of words?
I’m working on transcribing speech to text and ran into an issue (I think) when using pad_sequences in Keras. I pretrained a model which used pad_sequences on a dataframe and it fit the data into an array with the same number of columns & rows for each value. However when I used pad_sequences on transcribing text, the number of characters
I need to convert a doc string sentence into a list
Input file is: This code gives output: But I need output should be: Suggest me how can I get this result. Answer This produces the results you want: In case you need lemma: