#Textify mobile how to#
#Textify mobile android#
#Textify mobile verification#
#Textify mobile series#

Now choose Textify - Watch Keyboard, then click on 'uninstall'.You'll see a list of all your installed apps on your phone.After doing these, go to 'My Apps and Games' option, then go to the 'Installed' option.First open the Google Play app, then press the hamburger menu icon on the top left corner.

#Textify mobile android#

Click on the 'Enable' option and this will offload the apps that you don't use.ĭelete Textify - Watch Keyboard from Android You will see the option 'Offload Unused Apps'. Go into your Settings and click on 'General' and then click on iPhone Storage. Tap on the app you want to uninstall and delete the app. You will then scroll down to see the list of all the apps installed on your iPhone. Go to Settings and click on General then click on 'iPhone Storage'.

Click on that X to delete the Textify - Watch Keyboard app from your phone.

Once it starts to shake, you'll see an X Mark at the top of the app icon.

On your homescreen, Tap and hold Textify - Watch Keyboard until it starts shaking.

To delete Textify from your iPhone, Follow these steps:

#Textify mobile how to#

If the company has an app they developed in the Appstore, you can try contacting Mehdi Amiri (the app developer) for help through the details of the app.īonus: How to Delete Textify - Watch Keyboard from your iPhone or Android.ĭelete Textify - Watch Keyboard from iPhone.Finding the company's information, then reach out to them directly: Get all Textify's contact details here.Generally, here are some steps you can take if you find yourself in that fix: To unsubscribe, you might have to sign into Textify's website or directly reach out to their payments provider. Sometimes, you may start a subscription directly on a company's website without using an extra layer of security like Paypal or Apple. Here's how to cancel your Textify subscription when billed through a payments provider that is not the Appstore, Playstore or Paypal. What to do if you subscribed directly on Textify's website?

#Textify mobile verification#

Then click 'Done' on the verification page to complete the unsubscription.

Click on the 'Cancel Automatic Payments' tab to affirm that you want to stop making payments to Textify - Watch Keyboard.

You will be shown a confirmation page.

Click on 'Textify - Watch Keyboard' or 'Mehdi Amiri' to cancel.

#Textify mobile series#

You'll be shown a series of merchants' agreement you've transacted before.

Press 'Payments' from the menu provided to you and click on 'Manage Automatic Payments' in the Automatic Payments dashboard.

Click on the settings tab which is beside the logout option.

First log into your PayPal account at.

To cancel your Textify subscription on PayPal, do the following: Optionally, other data layers can override _get_features_padded_shapes, _get_labels_padded_shapes, _get_features_padding_values, and _get_labels_padding_values, if it is necessary to make batch padding.How to Cancel Textify - Watch Keyboard Subscription on Paypal. All subclasses should override _build_features_dataset, that builds input dataset, and _build_labels_dataset, building the labels dataset. batch_size=100.Īll other data layers should subclass it.

**kwargs: provides extra name and value params, e.g.

the vocabulary file, maximum length, unknown id, labels, etc.

init_params: a dictionary containing initialization parameters of the data layer, e.g.

It uses to split the text before send it to the vocabulary lookup table.

tokenizer: is a function takes as an input a text and tokenises it.

The labels_source must be text file(s), each line represents the class that the corresponding sample in the features_source file belongs to. In this case the data layer is supposed to be used in train mode or eval mode. Otherwise, the input pipline will be prepared as labeled data pipeline.

labels_source (Optional): If None, the dtat layer only works in the inference mode.

Each line in the file represents one sample.

features_source: A tf.string tensor containing one or more filenames.

: this default data layer is designed to build input pipeline for word-based text classification.

First, we describe the abstract class DataLayer. As Textify is desgined to mainly suuport text classification and other NLP tasks, we provide some predifined s. The textify.data module enables you to build input pipelines from simple, reusable pieces. Textify provides a framework consisting of two main API layers: You can find the implementation in this repo, CharCNN. Character-level Convolutional Networks for Text Classification. Textify is used to implement the following models: While text classification is the main task of this toolkit, it is, also, has been designed to support different NLP tasks such as: Textify (comes from the prefix of 'Text' and the suffix of 'Classify') is a high-level framework using TensorFlow for text classification.