Downloads · 30 days
23
1% of all-time downloads
ner-with-transformers
keras-io/ner-with-transformers
ner-with-transformers is a machine learning model from keras-io. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for tf-keras.
This repo contains code using the model. Named Entity Recognition using Transformers.
All-time downloads
2.7K
Public
Repo size
1.6 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.data-00000-of-000019.5 MB · 92%
At a glance
- Library
- tf-keras
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Feb 18, 2022
- SHA
- dedb3d11
Model card
From the Hugging Face model README
Tensorflow Keras Implementation of Named Entity Recognition using Transformers.
This repo contains code using the model. Named Entity Recognition using Transformers.
Credits: Varun Singh - Original Author
HF Contribution: Rishav Chandra Varma
Background Information
Introduction
Named Entity Recognition (NER) is the process of identifying named entities in text. Example of named entities are: "Person", "Location", "Organization", "Dates" etc. NER is essentially a token classification task where every token is classified into one or more predetermined categories.
We will train a simple Transformer based model to perform NER. We will be using the data from CoNLL 2003 shared task. For more information about the dataset, please visit the dataset website. However, since obtaining this data requires an additional step of getting a free license, we will be using HuggingFace's datasets library which contains a processed version of this dataset.
- Library
- tf-keras
- Created
- Mar 2, 2022
- Updated
- Feb 18, 2022