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哈哈哈哈……

我真是服了我自己了，两个文件夹的urls写成一个去了，反复导入

Django:大哥，你这怎么重复导入urls文件啊

我:什么？***！

总之以后注意吧

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import tensorflow as tf

mnist = tf.keras.datasets.mnist

(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0


model = tf.keras.models.Sequential([
  tf.keras.layers.Flatten(input_shape=(28, 28)),
  tf.keras.layers.Dense(128, activation='relu'),
  tf.keras.layers.Dropout(0.2),
  tf.keras.layers.Dense(10, activation='softmax')
])

model.compile(optimizer='adam',loss='sparse_categorical_crossentropy',metrics=['accuracy'])


model.fit(x_train, y_train, epochs=10)

model.evaluate(x_test,  y_test, verbose=2)

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from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm2-6b-int4", trust_remote_code=True)
model = AutoModel.from_pretrained("THUDM/chatglm2-6b-int4", trust_remote_code=True).half().float()
model = model.eval()
response, history = model.chat(tokenizer, "写一首赞美雪的现代诗", history=[])
print(response)
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