transformer-xl | This repository contains the code in both PyTorch | Machine Learning library

by kimiyoung Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | transformer-xl Summary

transformer-xl is a Python library typically used in Artificial Intelligence, Machine Learning, Pytorch applications. transformer-xl has no vulnerabilities, it has a Permissive License and it has medium support. However transformer-xl has 1 bugs and it build file is not available. You can download it from GitHub.

This repository contains the code in both PyTorch and TensorFlow for our paper. Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context. Zihang Dai*, Zhilin Yang*, Yiming Yang, Jaime Carbonell, Quoc V. Le, Ruslan Salakhutdinov (*: equal contribution).

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Quality

Security

License

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Support

transformer-xl has a medium active ecosystem.

It has 3379 star(s) with 743 fork(s). There are 86 watchers for this library.

It had no major release in the last 6 months.

There are 90 open issues and 40 have been closed. On average issues are closed in 70 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of transformer-xl is current.

Quality

transformer-xl has 1 bugs (1 blocker, 0 critical, 0 major, 0 minor) and 89 code smells.

Security

transformer-xl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

transformer-xl code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

transformer-xl is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

transformer-xl releases are not available. You will need to build from source code and install.

transformer-xl has no build file. You will be need to create the build yourself to build the component from source.

transformer-xl saves you 2670 person hours of effort in developing the same functionality from scratch.

It has 5791 lines of code, 322 functions and 19 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed transformer-xl and discovered the below as its top functions. This is intended to give you an instant insight into transformer-xl implemented functionality, and help decide if they suit your requirements.

Augments the model_fn
Get the object
Invoke the input function for each host
Enqueue infeed operations
Returns a function that returns the model function
Transformer transformer
Create the mask
Cache memory
Train model
Create a function that parses a single input file
Return a function that can be used for training
Runs after_run
Performs a pre - trained embedding lookup
Load LM corpus
Sample the logits
Wrap a computation in a while loop
Preprocess training
Run infeed thread
Build the vocab
Convert to tfrecord files
Inserts a stop signal
Generate input function for a single record
Perform forward computation
Forward computation
Multiply softmax
Call input_fn
Perform the forward computation
Multipro embeddings

Get all kandi verified functions for this library.

transformer-xl Key Features

No Key Features are available at this moment for transformer-xl.

transformer-xl Examples and Code Snippets

default

Python

Lines of Code : 140

License : No License

Copy

 >>> f = DFAFilter()
 >>> f.add("sexy")
 >>> f.filter("hello sexy baby")
 hello **** baby

>>> import langid
>>> langid.classify("This is a test")
('en', -54.41310358047485)

from langdetect import detect

Drinking from a Firehose: Continual Learning with Web-scale Natural Language,Usages

Python

Lines of Code : 85

License : No License

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usage: train.py [-h] [--n_layer N_LAYER] [--n_head N_HEAD] [--d_head D_HEAD]
                [--d_embed D_EMBED] [--d_user_embed D_USER_EMBED]
                [--mtl_depth MTL_DEPTH] [--mtl_width MTL_WIDTH]
                [--d_model D_MODEL] [--d_in

Quick tour

Python

Lines of Code : 61

License : Permissive (Apache-2.0)

Copy

import torch
from transformers import *

# Transformers has a unified API
# for 8 transformer architectures and 30 pretrained weights.
#          Model          | Tokenizer          | Pretrained weights shortcut
MODELS = [(BertModel,       BertTokeni

Community Discussions

Trending Discussions on transformer-xl

Getting PyCharm to find dependencies under

QUESTION

Getting PyCharm to find dependencies under

Asked 2019-Jul-09 at 19:22

Is there some way to tell PyCharm where to look for files?

Here's an example, I clone this repo, cd into transformer-xl/pytorch and run train.py and it works because utils is in . which Python interpreter includes in it's list of places it searches for imports.

However, when I open this project in PyCharm, it underlines all instances of utils, is there some way to fix this?

...

ANSWER

Answered 2019-Apr-22 at 10:02

Yes there is. You can define folders of a project as a source:

Source https://stackoverflow.com/questions/55718533

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install transformer-xl

You can download it from GitHub.
You can use transformer-xl 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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