gpt2-twitter | repo allows you to scrape tweets
kandi X-RAY | gpt2-twitter Summary
kandi X-RAY | gpt2-twitter Summary
gpt2-twitter is a Python library. gpt2-twitter has no bugs, it has no vulnerabilities and it has low support. However gpt2-twitter build file is not available. You can download it from GitHub.
This repo allows you to scrape tweets from a list of twitter accounts, use them to fine-tune a GPT-2 Model and then generate tweets. I am currently running this on my twitter account. All the tweets with 'KNSR' as the source are generated with this.
This repo allows you to scrape tweets from a list of twitter accounts, use them to fine-tune a GPT-2 Model and then generate tweets. I am currently running this on my twitter account. All the tweets with 'KNSR' as the source are generated with this.
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gpt2-twitter has a low active ecosystem.
It has 6 star(s) with 2 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 12 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of gpt2-twitter is current.
Quality
gpt2-twitter has no bugs reported.
Security
gpt2-twitter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
gpt2-twitter does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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gpt2-twitter releases are not available. You will need to build from source code and install.
gpt2-twitter has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed gpt2-twitter and discovered the below as its top functions. This is intended to give you an instant insight into gpt2-twitter implemented functionality, and help decide if they suit your requirements.
- Fold old batch norm
- Return the output at index
- Scale a conv layer
- Return the attribute of this node
- Save the saved model into a saved model
- Builds the collection_name_to_type_to_collection
- Returns the variable with the given name
- Folds batch norm of batchNorms up
- Change the name of the operation
- Return a graph that replaces target tensors with replacement tensors
- Adds a collection from a collection definition
- Convert python type to TensorValue
- Change batch size
- Make a simple binary op
- Create a node from a tf NodeDef
- Generate a model for training
- Compute the boundaries of the input tensors
- Parse command line arguments
- Copy op
- Fold batchNorms
- Calculate the union of the walks union
- Get the intersection of two walkers
- Find the operations within the given set of ops
- List of colocation groups
- Sample a sequence of tokens
- Convert a saved SavedModel to a graph
Get all kandi verified functions for this library.
gpt2-twitter Key Features
No Key Features are available at this moment for gpt2-twitter.
gpt2-twitter Examples and Code Snippets
No Code Snippets are available at this moment for gpt2-twitter.
Community Discussions
No Community Discussions are available at this moment for gpt2-twitter.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install gpt2-twitter
You can download it from GitHub.
You can use gpt2-twitter like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use gpt2-twitter like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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