Python TFOpenAIGPTLMHeadModel.from_pretrained Exemples

Exemple #1

    def test_lm_generate_openai_gpt(self):
        model = TFOpenAIGPTLMHeadModel.from_pretrained("openai-gpt")
        input_ids = tf.convert_to_tensor([[481, 4735, 544]],
                                         dtype=tf.int32)  # the president is
        expected_output_ids = [
            481,
            4735,
            544,
            246,
            963,
            870,
            762,
            239,
            244,
            40477,
            244,
            249,
            719,
            881,
            487,
            544,
            240,
            244,
            603,
            481,
        ]  # the president is a very good man. " \n " i\'m sure he is, " said the

        output_ids = model.generate(input_ids, do_sample=False)
        self.assertListEqual(output_ids[0].numpy().tolist(),
                             expected_output_ids)

Exemple #2

Fichier : text_generation.py Projet : joshzwiebel/PencilLearningTest

def initialize():
    global model, tokenizer
    model = TFOpenAIGPTLMHeadModel.from_pretrained("openai-gpt")
    tokenizer = OpenAIGPTTokenizer.from_pretrained("openai-gpt")