
# Bengali Word2Vec Model
This is a pre-trained word2vec model for Bengali language.

This model is build for [bnlp](https://github.com/sagorbrur/bnlp) package.

## Datasets
- [Wikipedia dump datasets](https://dumps.wikimedia.org/bnwiki/latest/)

## 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

    ```py
    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

    ```py
    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"}
license:mit region:us
TAGS
#license-mit #region-us 


# Bengali Word2Vec Model
This is a pre-trained word2vec model for Bengali language.

This model is build for bnlp package.

## Datasets
- Wikipedia dump 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

    

 - Find Most Similar Word Using Pretrained Model

    
# Bengali Word2Vec Model
This is a pre-trained word2vec model for Bengali language.

This model is build for bnlp package. ## Datasets
- Wikipedia dump 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

    

 - Find Most Similar Word Using Pretrained Model
TAGS
#license-mit #region-us 
 # Bengali Word2Vec Model
This is a pre-trained word2vec model for Bengali language.

This model is build for bnlp package. ## Datasets
- Wikipedia dump 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

    

 - Find Most Similar Word Using Pretrained Model
passage: TAGS
#license-mit #region-us 
# Bengali Word2Vec Model
This is a pre-trained word2vec model for Bengali language.

This model is build for bnlp package.## Datasets
- Wikipedia dump 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

    

 - Find Most Similar Word Using Pretrained Model