electra | Electra iOS 11.0 - 11.1.2 jailbreak toolkit | iOS library

by coolstar C Version: Current License: GPL-3.0

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kandi X-RAY | electra Summary

electra is a C library typically used in Mobile, iOS applications. electra has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

for iOS 11.0-11.1.2. This jailbreak is by the community, and was developed open source.

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electra has a low active ecosystem.

It has 644 star(s) with 169 fork(s). There are 94 watchers for this library.

It had no major release in the last 6 months.

There are 96 open issues and 138 have been closed. On average issues are closed in 88 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of electra is current.

Quality

electra has 0 bugs and 0 code smells.

Security

electra has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

electra code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

electra is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

electra releases are not available. You will need to build from source code and install.

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electra Examples and Code Snippets

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Community Discussions

Trending Discussions on electra

SAS problem: sum up rows and divide till it reach a specific value

Is there a faster way to convert sentences to TFHUB embeddings?

ValueError: Unrecognized model in ./MRPC/. Should have a `model_type` key in its config.json, or contain one of the following strings in its name

AWK Print two for loops separately with titles at the beginning

How to calculate perplexity of a sentence using huggingface masked language models?

Properly and cleanly segregating a test set and modifying data conditionally for LDA and associated confusion matrix in R

Renaming a variable and conditionally changing the values in R (using the dplyr package)

ValueError: too many values to unpack (expected 2) Django

Huggingface Electra - Load model trained with google implementation error: 'utf-8' codec can't decode byte 0x80 in position 64: invalid start byte

Adding p-values to a polr model (for modelsummary)

QUESTION

SAS problem: sum up rows and divide till it reach a specific value

Asked 2022-Mar-06 at 21:25

I have the following problem, I would like to sum up a column and divide the sum every line through the sum of the whole column till a specific value is reached. so in Pseudocode it would look like that:

...

ANSWER

Answered 2022-Mar-06 at 21:25

Perhaps I am missing your point but your subtotal will never be equal to 70 000 if you divide by the sum of its column. The maximum value will be 1. Your incremental sum however can be equal or superior to 70 000.

Source https://stackoverflow.com/questions/71373300

QUESTION

Is there a faster way to convert sentences to TFHUB embeddings?

Asked 2022-Jan-24 at 15:19

So I am involved in a project that involves feeding a combination of text embeddings and image vectors into a DNN to arrive at the result. Now for the word embedding part, I am using TFHUB's Electra while for the image part I am using a NASNet Mobile network.

However, the issue I am facing is that while running the word embedding part, using the code shown below, the code just keeps running nonstop. It has been over 2 hours now and my training dataset has just 14900 rows of tweets.

Note - The input to the function is just a list of 14900 tweets.

...

ANSWER

Answered 2022-Jan-24 at 15:19

The operation performed in the code is quadratic in its nature. While I managed to execute your snippet with 10000 samples within a few minutes, a 14900 long input ran out of memory on 32GB RAM runtime. Is it possible that your runtime is experiencing swapping?

It is not clear what is the snippet trying to achieve. Do you intend to train model? In such case you can define the text_input as an Input layer and use fit to train. Here is an example: https://www.tensorflow.org/text/tutorials/classify_text_with_bert#define_your_model

Source https://stackoverflow.com/questions/70820006

QUESTION

ValueError: Unrecognized model in ./MRPC/. Should have a `model_type` key in its config.json, or contain one of the following strings in its name

Asked 2022-Jan-13 at 14:10

Goal: Amend this Notebook to work with Albert and Distilbert models

Kernel: conda_pytorch_p36. I did Restart & Run All, and refreshed file view in working directory.

Error occurs in Section 1.2, only for these 2 new models.

For filenames etc., I've created a variable used everywhere:

...

ANSWER

Answered 2022-Jan-13 at 14:10

Explanation:

When instantiating AutoModel, you must specify a model_type parameter in ./MRPC/config.json file (downloaded during Notebook runtime).

List of model_types can be found here.

Solution:

Code that appends model_type to config.json, in the same format:

Source https://stackoverflow.com/questions/70697470

QUESTION

AWK Print two for loops separately with titles at the beginning

Asked 2021-Dec-27 at 16:42

I have this script and I would like to print a single title before executing the conditional if

My code

...

ANSWER

Answered 2021-Dec-27 at 16:05

Since there was no input example, I used your "Output I have" as input.

I also checked if the whole line contains the word terror or bird, but you can change it if you need the column where it is.

Source https://stackoverflow.com/questions/70497155

QUESTION

How to calculate perplexity of a sentence using huggingface masked language models?

Asked 2021-Dec-25 at 21:51

I have several masked language models (mainly Bert, Roberta, Albert, Electra). I also have a dataset of sentences. How can I get the perplexity of each sentence?

From the huggingface documentation here they mentioned that perplexity "is not well defined for masked language models like BERT", though I still see people somehow calculate it.

For example in this SO question they calculated it using the function

...

ANSWER

Answered 2021-Dec-25 at 21:51

There is a paper Masked Language Model Scoring that explores pseudo-perplexity from masked language models and shows that pseudo-perplexity, while not being theoretically well justified, still performs well for comparing "naturalness" of texts.

As for the code, your snippet is perfectly correct but for one detail: in recent implementations of Huggingface BERT, masked_lm_labels are renamed to simply labels, to make interfaces of various models more compatible. I have also replaced the hard-coded 103 with the generic tokenizer.mask_token_id. So the snippet below should work:

Source https://stackoverflow.com/questions/70464428

QUESTION

Properly and cleanly segregating a test set and modifying data conditionally for LDA and associated confusion matrix in R

Asked 2021-Sep-24 at 07:02

I want to do LDA (linear discriminant analysis) with the Auto dataset of the ISLR package. To start off, I am trying to take the cars with year = 75 and use it as a "test set", where cars of all other years will be used as a "training set". However, it seems that I've made a mess of things. For instance, in my code below, sequentially using the replace function for the values of mpg.year75 just results in everything being set to high:

...

ANSWER

Answered 2021-Sep-24 at 07:02

The issue is in these 3 lines.

Source https://stackoverflow.com/questions/69310714

QUESTION

Renaming a variable and conditionally changing the values in R (using the dplyr package)

Asked 2021-Sep-23 at 07:08

I am trying to use the rename() function of the dplyr package to change the variable mpg to mpgclass:

...

ANSWER

Answered 2021-Sep-23 at 07:08

rename works for me, perhaps you have a function conflict with another package. Try using dplyr::rename.

To change the columns based on range of values you may use case_when or cut.

Source https://stackoverflow.com/questions/69295245

QUESTION

ValueError: too many values to unpack (expected 2) Django

Asked 2021-Sep-02 at 07:23

Not sure why but my code is getting the following error:

...

ANSWER

Answered 2021-Sep-02 at 07:20

The exception comes from a Django internal middleware, since it's trying to process your returned qs as a response.

You'll need to return a response, not just a queryset, e.g. this simple example to return a list of user IDs.

Source https://stackoverflow.com/questions/69025732

QUESTION

Huggingface Electra - Load model trained with google implementation error: 'utf-8' codec can't decode byte 0x80 in position 64: invalid start byte

Asked 2021-May-28 at 15:14

I have trained an electra model from scratch using google implementation code.

...

ANSWER

Answered 2021-May-28 at 15:14

It seems that @npit is right. The output of the convert_electra_original_tf_checkpoint_to_pytorch.py does not contain the configuration that I gave (hparams.json), therefore I created an ElectraConfig object -- with the same parameters -- and provided it to the from_pretrained function. That solved the issue.

Source https://stackoverflow.com/questions/67740498

QUESTION

Adding p-values to a polr model (for modelsummary)

Asked 2021-May-06 at 05:49

I know that polr does not give p-values because they are not very reliable. Nevertheless, I would like to add them to my modelsummary (Vignette) output. I know to get the values as follows:

...

ANSWER

Answered 2021-May-05 at 13:12

I think the easiest way to achieve this is to define a tidy_custom.polr method as described here in the documentation.. For instance, you could do:

Source https://stackoverflow.com/questions/67400435

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