pytorch-fast-elmo | A Fast ELMo Implementation
kandi X-RAY | pytorch-fast-elmo Summary
kandi X-RAY | pytorch-fast-elmo Summary
pytorch-fast-elmo is a Python library. pytorch-fast-elmo has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
A Fast ELMo Implementation. (NOT MAINTAIN ANYMORE)
A Fast ELMo Implementation. (NOT MAINTAIN ANYMORE)
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Quality
Security
License
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Support
pytorch-fast-elmo has a low active ecosystem.
It has 35 star(s) with 9 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 4 open issues and 5 have been closed. On average issues are closed in 2 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pytorch-fast-elmo is current.
Quality
pytorch-fast-elmo has 0 bugs and 21 code smells.
Security
pytorch-fast-elmo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pytorch-fast-elmo code analysis shows 0 unresolved vulnerabilities.
There are 3 security hotspots that need review.
License
pytorch-fast-elmo is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
pytorch-fast-elmo releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
It has 2415 lines of code, 134 functions and 13 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pytorch-fast-elmo and discovered the below as its top functions. This is intended to give you an instant insight into pytorch-fast-elmo implemented functionality, and help decide if they suit your requirements.
- Sample a single sentence
- Convert a batch of tokens to a sequence of char ids
- Generate a list of word ids from vocab
- Make a list of char ids
- Create a StatefulLSTM
- Load LSTM
- Encodes sentences
- Creates a list of char_cnn_cnn
- Creates an ElmoCharacterEncoder
- Load the CNN weights
- Load character embedding
- Profile a full ELMo model
- Loads an Elmo object
- Return an instance of FastElmo
- Generate a random sentence
- Sort a batch by length
- Exports an embedding file
- Create embedding tensor
- Returns whether the weight file is a hdf5 file
- Perform the forward computation
- Pack the inputs and unpack them
- Compute the output of the forward layer
- Execute the function
- Forward computation
- Load a requirements file
- Execute the BSTM expression
Get all kandi verified functions for this library.
pytorch-fast-elmo Key Features
No Key Features are available at this moment for pytorch-fast-elmo.
pytorch-fast-elmo Examples and Code Snippets
No Code Snippets are available at this moment for pytorch-fast-elmo.
Community Discussions
No Community Discussions are available at this moment for pytorch-fast-elmo.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pytorch-fast-elmo
You can download it from GitHub.
You can use pytorch-fast-elmo 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 pytorch-fast-elmo 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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