def load_partially_trained_model():
    obj = pickle.load(open(PARTIALLY_TRAINED_MODEL, 'rb'))
    params = language_model.Params(obj['word_embedding_weights'], obj['embed_to_hid_weights'],
                                   obj['hid_to_output_weights'], obj['hid_bias'],
                                   obj['output_bias'])
    vocab = obj['vocab']
    return language_model.Model(params, vocab)
def load_partially_trained_model():
    obj = cPickle.load(open(PARTIALLY_TRAINED_MODEL, 'rb'))
    params = language_model.Params(obj[WORD_EMBEDDING_WEIGHTS],
                                   obj[EMBED_TO_HID_WEIGHTS],
                                   obj[HID_TO_OUTPUT_WEIGHTS],
                                   obj[HID_BIAS],
                                   obj[OUTPUT_BIAS])
    vocab = obj[VOCAB]
    return language_model.Model(params, vocab)