tner | Language model fine-tuning on NER with an easy interface | Natural Language Processing library
kandi X-RAY | tner Summary
kandi X-RAY | tner Summary
tner is a Python library typically used in Artificial Intelligence, Natural Language Processing, Pytorch, Bert, Neural Network, Transformer applications. tner has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install tner' or download it from GitHub, PyPI.
Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"
Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"
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Quality
Security
License
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Support
tner has a low active ecosystem.
It has 304 star(s) with 28 fork(s). There are 9 watchers for this library.
It had no major release in the last 12 months.
There are 14 open issues and 27 have been closed. On average issues are closed in 43 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of tner is 0.2.1
Quality
tner has 0 bugs and 0 code smells.
Security
tner has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
tner code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
tner is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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tner releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed tner and discovered the below as its top functions. This is intended to give you an instant insight into tner implemented functionality, and help decide if they suit your requirements.
- Predict on inputs
- Decode a tag sequence into a sequence of entities
- Get data loader
- Encodes a list of tokens
- Generate prediction for given model
- Perform indexing
- Get the entity prediction
- Predict the prediction
- Embed a list of sentences
- Main entry point
- Add command line arguments
- Perform a search
- Main function
- Load a single dataset
- Load a dataset
- Concatenate datasets into a single dataset
- Perform a query
- Encodes tokens
- Generate a readme file
- Get command line options
- Download a file from url
- Safely load a file
- Process a request
- Plot a time series
- Add arguments specific to the command line
- Format result
- Fix the labels in the input sequence
- Decodes a tag sequence into a single entity
- Aggregate single query result
- Computes the cosine similarity between two vectors
Get all kandi verified functions for this library.
tner Key Features
No Key Features are available at this moment for tner.
tner Examples and Code Snippets
Copy
import tner
data, label_to_id, language, unseen_entity_set = tner.get_dataset_ner('data-name')
{
'train': {
'data': [
['@paulwalk', 'It', "'s", 'the', 'view', 'from', 'where', 'I', "'m", 'living', 'for', 'two', 'weeks', '.',
Copy
@inproceedings{ushio-camacho-collados-2021-ner,
title = "{T}-{NER}: An All-Round Python Library for Transformer-based Named Entity Recognition",
author = "Ushio, Asahi and
Camacho-Collados, Jose",
booktitle = "Proceedings of the 16
Copy
EU B-ORG
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Community Discussions
Trending Discussions on tner
QUESTION
Getting data out of JSON in NodeJS results in undefined
Asked 2018-Feb-20 at 10:30
So today I was writing a nodejs app to get data out of a website's API.So the API returns data in JSON. This is my code :
...ANSWER
Answered 2018-Feb-20 at 10:30The 'res' is in string format so instead of JSON.stringify() use JSON.parse() so that it will be converted back into Javascript object, then try consoling the result as shown below and try to access meta_data after that.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tner
or directly from the repository for the latest version.
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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