Custom Fasttext Embeddings with Flair

To get a better overview and understanding of the need for this project, I would recommend to read my article on the same.

The objective of this script is to be able to use our custom fasttext embeddings with the Flair.

Usage

The integration is very simple:

1. Copy the fasttext_custom_embeddings_with_flair.py file to your project.
2. Install the packages from requirements.txt.
3. Import the FastTextEmbeddings from fasttext_custom_embeddings_with_flair.py file.
4. Instantiate an object of FastTextEmbeddings by passing either the local path or the remote http(s) url to the constructor.
5. Use it like you use any other embedding object in Flair.

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Usage with local file

from fasttext_custom_embeddings_with_flair import FastTextEmbeddings
from flair.data import Sentence  
 
ft_embeddings = FastTextEmbeddings('/path/to/custom_fasttext_embeddings.bin', use_local=True)  
 
sentence = Sentence('The quick brown fox jumps over a lazy dog.', use_tokenizer=True)  
ft_embeddings.embed(sentence)  

1. Initialize the constructor by passing the local path to embeddings .bin file.
2. Set the boolean use_local to True.

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Usage with remote file

from fasttext_custom_embeddings_with_flair import FastTextEmbeddings  
from flair.data import Sentence  
 
ft_embeddings = FastTextEmbeddings('/url/to/custom_fattext_embeddings.bin', use_local=False)  
 
sentence = Sentence('The quick brown fox jumps over a lazy dog.', use_tokenizer=True)  
ft_embeddings.embed(sentence)  

1. Initialize the constructor by passing the remote url to embeddings .bin file. (I have tested this with my embeddings in S3 with an https url.)
2. Set the boolean use_local to False. (Mandatory step if you are using a remote url.)

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Usage with StackedEmbeddings

from fasttext_custom_embeddings_with_flair import FastTextEmbeddings  
from flair.embeddings import WordEmbeddings, StackedEmbeddings  
from flair.data import Sentence  
 
ft_embeddings = FastTextEmbeddings('/url/to/custom_fattext_embeddings.bin', use_local=False)  
glove_embeddings = WordEmbeddings('glove')  
 
sentence = Sentence('The quick brown fox jumps over a lazy dog.', use_tokenizer=True)  
 
stacked_embeddings = StackedEmbeddings([ft_embeddings, glove_embeddings]) 
stacked_embeddings.embed(sentence)  

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Usage with DocumentEmbeddings

from fasttext_custom_embeddings_with_flair import FastTextEmbeddings  
from flair.embeddings import WordEmbeddings, DocumentRNNEmbeddings  
from flair.data import Sentence  
 
ft_embeddings = FastTextEmbeddings('/url/to/custom_fattext_embeddings.bin', use_local=True)  
glove_embeddings = WordEmbeddings('glove')  
 
sentence = Sentence('The quick brown fox jumps over a lazy dog.', use_tokenizer=True)  
 
document_rnn_embeddings = DocumentRNNEmbeddings([ft_embeddings, glove_embeddings]) 
document_rnn_embeddings.embed(sentence)  

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In case of any doubts, get in touch.

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Refernces:

1. Flair
2. fastText

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License:

This repository is licensed under the Apache 2.0 License.