from danspeech.utils.data_utils import get_model


LANGUAGE_MODEL_ORIGIN = "https://github.com/danspeech/danspeech/releases/download/v0.02-alpha/dsl_3gram.klm"


def DSL3gram(cache_dir=None):
    """
    DSL 3-gram language model. This is the best performing for out test cases along with DSL 5-gram.

    :param str cache_dir: If you wish to use custom directory to stash/cache your models. This is generally not
        recommended, and if left out, the DanSpeech models will be stored in the ``~/.danspeech/lms/`` folder.
    :return: path to .klm language model
    :rtype: str
    """
    return get_model(model_name="dsl_3gram.klm",
                     origin=LANGUAGE_MODEL_ORIGIN,
                     file_hash="33ca3e2a8db3a036af6d7ad85972dbb0",
                     cache_dir=cache_dir,
                     file_type="language_model")

b5a987bb8942bb9a780db17a92ef463558da20ad
<mask token>

<mask token>


def DSL3gram(cache_dir=None):
    """
    DSL 3-gram language model. This is the best performing for out test cases along with DSL 5-gram.

    :param str cache_dir: If you wish to use custom directory to stash/cache your models. This is generally not
        recommended, and if left out, the DanSpeech models will be stored in the ``~/.danspeech/lms/`` folder.
    :return: path to .klm language model
    :rtype: str
    """
    return get_model(model_name='dsl_3gram.klm', origin=
        LANGUAGE_MODEL_ORIGIN, file_hash='33ca3e2a8db3a036af6d7ad85972dbb0',
        cache_dir=cache_dir, file_type='language_model')

<mask token>
LANGUAGE_MODEL_ORIGIN = (
    'https://github.com/danspeech/danspeech/releases/download/v0.02-alpha/dsl_3gram.klm'
    )


def DSL3gram(cache_dir=None):
    """
    DSL 3-gram language model. This is the best performing for out test cases along with DSL 5-gram.

    :param str cache_dir: If you wish to use custom directory to stash/cache your models. This is generally not
        recommended, and if left out, the DanSpeech models will be stored in the ``~/.danspeech/lms/`` folder.
    :return: path to .klm language model
    :rtype: str
    """
    return get_model(model_name='dsl_3gram.klm', origin=
        LANGUAGE_MODEL_ORIGIN, file_hash='33ca3e2a8db3a036af6d7ad85972dbb0',
        cache_dir=cache_dir, file_type='language_model')

from danspeech.utils.data_utils import get_model
LANGUAGE_MODEL_ORIGIN = (
    'https://github.com/danspeech/danspeech/releases/download/v0.02-alpha/dsl_3gram.klm'
    )


def DSL3gram(cache_dir=None):
    """
    DSL 3-gram language model. This is the best performing for out test cases along with DSL 5-gram.

    :param str cache_dir: If you wish to use custom directory to stash/cache your models. This is generally not
        recommended, and if left out, the DanSpeech models will be stored in the ``~/.danspeech/lms/`` folder.
    :return: path to .klm language model
    :rtype: str
    """
    return get_model(model_name='dsl_3gram.klm', origin=
        LANGUAGE_MODEL_ORIGIN, file_hash='33ca3e2a8db3a036af6d7ad85972dbb0',
        cache_dir=cache_dir, file_type='language_model')

from danspeech.utils.data_utils import get_model


LANGUAGE_MODEL_ORIGIN = "https://github.com/danspeech/danspeech/releases/download/v0.02-alpha/dsl_3gram.klm"


def DSL3gram(cache_dir=None):
    """
    DSL 3-gram language model. This is the best performing for out test cases along with DSL 5-gram.

    :param str cache_dir: If you wish to use custom directory to stash/cache your models. This is generally not
        recommended, and if left out, the DanSpeech models will be stored in the ``~/.danspeech/lms/`` folder.
    :return: path to .klm language model
    :rtype: str
    """
    return get_model(model_name="dsl_3gram.klm",
                     origin=LANGUAGE_MODEL_ORIGIN,
                     file_hash="33ca3e2a8db3a036af6d7ad85972dbb0",
                     cache_dir=cache_dir,
                     file_type="language_model")
