Source code for malaya.keyword.abstractive

from malaya.supervised.huggingface import load
from malaya.torch_model.huggingface import Keyword

available_huggingface = {
    'mesolitica/finetune-keyword-t5-small-standard-bahasa-cased': {
        'Size (MB)': 242,
        'f1': 0.3291554473802324,
        'Suggested length': 1024,
    },
    'mesolitica/finetune-keyword-t5-base-standard-bahasa-cased': {
        'Size (MB)': 892,
        'f1': 0.3367989506031038,
        'Suggested length': 1024,
    },
}

info = """
tested on test set, https://huggingface.co/datasets/51la5/keyword-extraction/tree/main
""".strip()


[docs]def huggingface( model: str = 'mesolitica/finetune-keyword-t5-small-standard-bahasa-cased', force_check: bool = True, **kwargs, ): """ Load HuggingFace model to abstractive keyword. Parameters ---------- model: str, optional (default='mesolitica/finetune-keyword-t5-small-standard-bahasa-cased') Check available models at `malaya.keyword.abstractive.available_huggingface()`. force_check: bool, optional (default=True) Force check model one of malaya model. Set to False if you have your own huggingface model. Returns ------- result: malaya.torch_model.huggingface.Keyword """ return load( model=model, class_model=Keyword, available_huggingface=available_huggingface, force_check=force_check, path=__name__, **kwargs, )