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bangla_word2vec
sagorsarker/bangla_word2vec
bangla_word2vec is a machine learning model from sagorsarker. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This is a pre-trained word2vec model for Bengali language.
Access
Public
Updated Nov 12, 2022
Repo size
200 MB
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2
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At a glance
- License
- mit
- Access
- Public
- Created
- Jun 11, 2022
- Updated
- Nov 12, 2022
- SHA
- c16ac246
Model card
From the Hugging Face model README
Bengali Word2Vec Model
This is a pre-trained word2vec model for Bengali language.
This model is build for bnlp package.
Datasets
Training details
- Word2Vec word embedding dimension = 100, min_count=5, window=5, epochs=10
Usage
-
pip install -U bnlp_toolkit -
Generate Vector using pretrain model
from bnlp import BengaliWord2Vec bwv = BengaliWord2Vec() model_path = "bengali_word2vec.model" word = 'গ্রাম' vector = bwv.generate_word_vector(model_path, word) print(vector.shape) print(vector) -
Find Most Similar Word Using Pretrained Model
from bnlp import BengaliWord2Vec bwv = BengaliWord2Vec() model_path = "bengali_word2vec.model" word = 'গ্রাম' similar = bwv.most_similar(model_path, word, topn=10) print(similar)
- License
- mit
- Created
- Jun 11, 2022
- Updated
- Nov 12, 2022