spacyface | token outputs from Spacy and Huggingface to help | Natural Language Processing library

by bhoov Python Version: 0.3.0 License: Apache-2.0

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

kandi X-RAY | spacyface Summary

spacyface is a Python library typically used in Artificial Intelligence, Natural Language Processing, Bert, Transformer applications. spacyface 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 spacyface' or download it from GitHub, PyPI.

Align Huggingface Transformer model tokenizations with linguistic metadata provided by spaCy!.

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spacyface has a low active ecosystem.

It has 22 star(s) with 5 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 162 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of spacyface is 0.3.0

Quality

spacyface has 0 bugs and 0 code smells.

Security

spacyface has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

spacyface code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

spacyface 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

spacyface 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 are not available. Examples and code snippets are available.

spacyface saves you 172 person hours of effort in developing the same functionality from scratch.

It has 426 lines of code, 61 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Make an Aligner
Decorator to define a function signature
Convert a spacy doc to a list of tokens
Return a normalized version of a token
Read n characters from f
Returns whether a string is a short sentence
Checks if the given line is a valid sentence
Read outcomes from given characters
Check the tokenization against a given corpus
Extract n characters from a file
Read lines from a file
Extract sentences from infile into a file
Extract lines from a file
Get a single line from a file
Parse command line arguments

Get all kandi verified functions for this library.

spacyface Key Features

No Key Features are available at this moment for spacyface.

spacyface Examples and Code Snippets

Spacyface aligner,Usage,Observing attention between linguistic features

Python

Lines of Code : 30

License : Permissive (Apache-2.0)

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from transformers import AutoModel
import torch
import matplotlib.pyplot as plt
import seaborn as sn
from spacyface import RobertaAligner

alnr_cls = RobertaAligner
model_name = "roberta-base"
sentence = "A simple sentence for the ages."
layer = 8
he

Spacyface aligner,Usage,Basic Usage on a sentence

Python

Lines of Code : 9

License : Permissive (Apache-2.0)

Copy

from aligner import BertAligner

alnr = BertAligner.from_pretrained("bert-base-cased")
sentence = "Do you know why they call me the Count? Because I love to count! Ah-hah-hah!"
tokens = alnr.meta_tokenize(sentence)
print("Tokens:\n\n", [(tok.token, t

Spacyface aligner,Testing the aligner

Python

Lines of Code : 5

License : Permissive (Apache-2.0)

Copy

from spacyface import TransfoXLAligner
from spacyface.checker import check_against_corpus
corpus = 'tests/wiki.test.txt'
alnr = TransfoXLAligner.from_pretrained('transfo-xl-wt103')
check_against_corpus(alnr, corpus)

Community Discussions

Trending Discussions on spacyface

Using Hugging Face Transformers library how can you POS_TAG French text

QUESTION

Using Hugging Face Transformers library how can you POS_TAG French text

Asked 2020-Jul-11 at 11:48

I am trying to POS_TAG French using the Hugging Face Transformers library. In English I was able to do so given a sentence like e.g:

The weather is really great. So let us go for a walk.

the result is:

...

ANSWER

Answered 2020-Jul-11 at 11:48

We have ended up training a model for POS Tagging (part of speech tagging) with the Hugging Face Transformers library. The resulting model is available here:

https://huggingface.co/gilf/french-postag-model?text=En+Turquie%2C+Recep+Tayyip+Erdogan+ordonne+la+reconversion+de+Sainte-Sophie+en+mosqu%C3%A9e

You can basically see how it assigns POS tags on the webpage mentioned above. If you have the Hugging Face Transformers library installed you can try it out in a Jupyter notebook with this code:

Source https://stackoverflow.com/questions/62782001

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

Vulnerabilities

No vulnerabilities reported

Install spacyface

You can install using 'pip install spacyface' or download it from GitHub, PyPI.
You can use spacyface 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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