keras-nlp | Modular Natural Language Processing workflows with Keras | Natural Language Processing library

by keras-team Python Version: 0.12.1.dev0 License: Apache-2.0

X-Ray Key Features Code Snippets(4)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | keras-nlp Summary

keras-nlp is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Tensorflow, Keras, Neural Network, Transformer applications. keras-nlp 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 keras-nlp' or download it from GitHub, PyPI.

Industry-strength Natural Language Processing workflows with Keras

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Quality

Security

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Support

keras-nlp has a low active ecosystem.

It has 488 star(s) with 133 fork(s). There are 28 watchers for this library.

There were 10 major release(s) in the last 12 months.

There are 165 open issues and 268 have been closed. On average issues are closed in 33 days. There are 25 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of keras-nlp is 0.12.1.dev0

Quality

keras-nlp has no bugs reported.

Security

keras-nlp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

keras-nlp 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

keras-nlp releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

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

Get dataset and tokenizer
Download data
Prepare tokenizer
Prepare dataset
Create training instances
Creates tokens from a document
Creates a set of predicted lm predictions
Truncate a sequence pair
Call the function
Get key from keys
Return the value corresponding to the given keys
Calculate the logits
Gather indexes
Process a single file into a list of sentences
Read a Wikipedia dump file
Decode a single record
Returns a list of filenames for the given pattern
Generate a random dataset
Load test data
Returns a checkpoint callback
Train a keras model
Build a Keras model
Generates a text prediction
Writes examples to examples
Decodes a sequence of tokens into a sequence
Get a TensorBoard callback

Get all kandi verified functions for this library.

keras-nlp Key Features

No Key Features are available at this moment for keras-nlp.

keras-nlp Examples and Code Snippets

'NoneType' object has no attribute 'boto_region_name'

Python

Lines of Code : 5

License : Strong Copyleft (CC BY-SA 4.0)

Copy

from sagemaker.tensorflow.serving import Model
sagemaker_model = Model(model_data='s3://' + sagemaker_session.default_bucket() + '/Scikit-keras-NLP-pipeline-Boston-Housing-example-June08-test1/train/Bostonmodel.tar.gz',

Is there an easy way with built-in functions to automatically retrain a keras NLP model?

Python

Lines of Code : 6

License : Strong Copyleft (CC BY-SA 4.0)

Copy

self.word_counts = OrderedDict()
self.word_docs = defaultdict(int)

self.word_index
self.index_word

How to fix Keras LSTM input / output dimensions?

Python

Lines of Code : 6

License : Strong Copyleft (CC BY-SA 4.0)

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model.add(LSTM(vocab_size))

model.add(Dense(vocab_size, activation='softmax'))

but got array with shape (4945,)

Replacing the embedding layer in a pretrained Keras model

Python

Lines of Code : 7

License : Strong Copyleft (CC BY-SA 4.0)

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from keras.models import load_model

filename = "my_model.h5"
model = load_model(filename)

model.layers[idx_of_your_embedding_layer].set_weights(my_new_embedding_matrix)

Community Discussions

Trending Discussions on keras-nlp

'NoneType' object has no attribute 'boto_region_name'

QUESTION

'NoneType' object has no attribute 'boto_region_name'

Asked 2020-Jul-08 at 20:14

I've been wrapped around this problem for a while and can't seem to understand where this issue is coming from. I'm deploying a model on Sagemaker and I get the error on this line of code:

sm_model.deploy(initial_instance_count=1, instance_type='ml.m4.2xlarge', endpoint_name=endpoint_name)

Jupyter Notebook outputs the error below. Note: Line 269 isn't code in my Notebook, it is just a reference I get as a result of my model.deploy command above.

...

ANSWER

Answered 2020-Jun-27 at 16:45

It means that something doesn't work right in your code. The variable sagemaker_session doesn't have a value assigned to it that you think it has. First check if the value of that variable is set correctly.

Source https://stackoverflow.com/questions/62557113

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

Vulnerabilities

No vulnerabilities reported

Install keras-nlp

You can install using 'pip install keras-nlp' or download it from GitHub, PyPI.
You can use keras-nlp 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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